CLP Tutorial 02: COIL-100 #721

elvinhajizada · 2023-06-20T21:53:42Z

Issue Number:
#706

Objective of pull request:
Create the first tutorial on the initial version of CLP (Continually Learning Prototypes) algorithm, explaining how to set up and use the CLP processes from #706

Pull request checklist

Your PR fulfills the following requirements:

Issue created that explains the change and why it's needed
Tests are part of the PR (for bug fixes / features)
Docs reviewed and added / updated if needed (for bug fixes / features)
PR conforms to Coding Conventions
PR applys BSD 3-clause or LGPL2.1+ Licenses to all code files
Lint (flakeheaven lint src/lava tests/) and (bandit -r src/lava/.) pass locally
Build tests (pytest) passes locally

Pull request type

Please check your PR type:

What is the current behavior?

No CLP tutorial

What is the new behavior?

The first CLP tutorial, describing the basics on the synthetic data

Does this introduce a breaking change?

Yes
No

Supplemental information

…tegration

elvinhajizada · 2023-06-20T21:56:10Z

Please ignore everything except the new tutorial notebook

NoveltyDetector

feature extraction added

features for COIL-100; toch as optional dependency

elvinhajizada · 2023-09-18T09:46:29Z

The significant update to this PR includes:

New CLP experiments are devised to test different aspects of the algorithm
The abstract CLP class is improved to facilitate these experiments
The user is given two options: use pre-extracted features or extracts features on your own (if you have torch & torchvision)
Torch and torchvision dependencies are optional and if not there, code will use pre-extracted features
Scikit-learn dependency is added and will be added to Lava requirements for the next release

elvinhajizada · 2023-09-18T10:56:30Z

The tests for CLP tutorials are commented out temporarily, till sk-learn is added to CI. Once that happens, I will add these tests before merge

PhilippPlank

sk-learn should be added in pyproject.toml

…into clp_tutorial01

* CLP initial commit: PrototypeLIF, NoveltyDetector, Readout procs/tests * small linting fix * Novelty detector upgraded to target next neuron; codacy errors fixed * integration test; small fixes * removed duplicate code in prototypeLIF process; linting fixes * linting fixes * Linting and codacy fixes * remove duplicate test; some more codacy fixes * clp tutorial01 v1 * PrototypeLIF spikes when it recieves a 3rd factor input * a test for PrototypeLIF output spike after 3rd factor input * clp tutorial01 ready to be roughly finished * linting, license and utils fixes * CLP on COIL-100, extracted features from 42 objects, tutorial01 fixes * Allocation & prototype id tracking is abstracted away from NoveltyDetector * Allocator process; Readout proc sends allocation trigger if error * introduce learning rate Var in PrototypeLIF * updated integration tests; full system test included * Linting fixes * Another small lintint fix * clp tutorial 2, 20 class experiments (Coil-100) * PrototypeLIF hard reset capability to enable faster temporal WTA * allocation mechanism changed; proc interfaces changes; dense conns added; lr var removed * small linting fix * small codacy fix * prints removed, spelling mistakes fixed * ignoring one check in an integration test * Revert "small linting fix" This reverts commit bde4fa9. * CLP tutorial 1 is finalized * Fix linting in test_models.py * Test fix in utils.py * Fix test of bug fix in utils.py * Fix utils.py * Implemented individual threadsafe random call Signed-off-by: bamsumit <[email protected]> * tutorial 2 use new abstracted CLP class * CLP tutorial 2: unsupervised and supervised experiments are seperated * addressed reviewer's requests, added tests, removed pics etc * Update clp.py fix linting * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * CLP class and experiments improved; pytorch dependency removed; feature extraction added * Allocator accepts arbitrary initial index as param * New experiments; improved CLP class; continuous experimentation; new features for COIL-100; toch as optional dependency * linting fixes * Temporarily skipping CLP tutorials test till sk-learn is added * scikit-learn added to poetry; tutorial tst is re-enabled --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: bamsumit <[email protected]>

* prod neuron * trying to get prod neuron to work... * trying to get prod neuron cpu to work... * prod neuron process cpu backend working with unit test * remove init file from prod_neuron * gradedvec process and test * working on norm vec * fixed prod neuron license headers * invsqrt model and tests, reconfigured to process and models * normvecdelay and tests, timing weirdness with normvecdelay * test for second channel of norm vec * renamed to prodneuron. * fixing some linting errors * cleanup * frameworks and networks added to lava-nc * adding some docstring, fixing unused imports * Fix partition parse bug for internal vLab (#741) * Adding deprecated lava.utils.system. * Update system.py * Update system.py * Bugfix for missing fields in sinfo. --------- Co-authored-by: PhilippPlank <[email protected]> * Add linting tutorials folder (#742) * serialization first try * first try * serialization implementation + unittests * fix linting * fix bandit * fix unittest * fix codacy * added tutorial * Update tutorial11_serialization.ipynb * added notebook to unit tests * Fixed broken link in tutorial. * fix linting * add tutorials folder to CI linting check * Update ci.yml * fix bug --------- Co-authored-by: Mathis Richter <[email protected]> * Iterator callback fx signature fix (#743) * update refport unittest to always wait when it writes to port for consistent behavior Signed-off-by: bamsumit <[email protected]> * Removed pyproject changes Signed-off-by: bamsumit <[email protected]> * Fix to convolution tests. Fixed imcompatible mnist_pretrained for old python versions. Signed-off-by: bamsumit <[email protected]> * Missing moudle parent fix Signed-off-by: bamsumit <[email protected]> * Added ConvVarModel * Added iterable callback function Signed-off-by: bamsumit <[email protected]> * Fix codacy issues in callback_fx.py * Fix linting in callback_fx.py * Fix codacy sig issue in callback_fx.py --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: Joyesh Mishra <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> * Bugfix to pass the args by keyword (#744) * CLP Tutorial 01 Only (#746) * CLP initial commit: PrototypeLIF, NoveltyDetector, Readout procs/tests * small linting fix * Novelty detector upgraded to target next neuron; codacy errors fixed * integration test; small fixes * removed duplicate code in prototypeLIF process; linting fixes * linting fixes * Linting and codacy fixes * remove duplicate test; some more codacy fixes * clp tutorial01 v1 * PrototypeLIF spikes when it recieves a 3rd factor input * a test for PrototypeLIF output spike after 3rd factor input * clp tutorial01 ready to be roughly finished * linting, license and utils fixes * CLP on COIL-100, extracted features from 42 objects, tutorial01 fixes * Allocation & prototype id tracking is abstracted away from NoveltyDetector * Allocator process; Readout proc sends allocation trigger if error * introduce learning rate Var in PrototypeLIF * updated integration tests; full system test included * Linting fixes * Another small lintint fix * clp tutorial 2, 20 class experiments (Coil-100) * PrototypeLIF hard reset capability to enable faster temporal WTA * allocation mechanism changed; proc interfaces changes; dense conns added; lr var removed * small linting fix * small codacy fix * prints removed, spelling mistakes fixed * ignoring one check in an integration test * Revert "small linting fix" This reverts commit bde4fa9. * CLP tutorial 1 is finalized * Fix linting in test_models.py * Test fix in utils.py * Fix test of bug fix in utils.py * Fix utils.py * Implemented individual threadsafe random call Signed-off-by: bamsumit <[email protected]> * tutorial 2 use new abstracted CLP class * CLP tutorial 2: unsupervised and supervised experiments are seperated * addressed reviewer's requests, added tests, removed pics etc * Update clp.py fix linting * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * Removed sklearn dependency. Now np data gen. * rm COIL tutorial, dataset, tests from branch --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: Elvin Hajizada <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: bamsumit <[email protected]> * Update release job, add pypi upload, github release creation (#737) * Add pypi upload, github release creation in cd.yml * Set version to 0.8.0.dev0 * Add readme to pyproject.toml * use v1.3 of composite action * Test run of release creation/pypi pub in cd.yml * Run tests from py 3.10 in cd.yml * Fix export of output vars in cd.yml --------- Co-authored-by: PhilippPlank <[email protected]> * Update release job, pypi auth Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> * Use github pypi auth in release job (#747) * Update release job, pypi auth Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> * Add id-token to cd.yml --------- Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> Co-authored-by: Marcus G K Williams <Marcus G K Williams [email protected]> * Release 0.8.0 Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> * Fix conv python model to send() before recv() (#751) Co-authored-by: Gavin Parpart <[email protected]> * Adds support for Monitor a Port to observe if it is blocked (#755) * Adds support for Monitor a Port to observe if it is blocked * Fix lint issues * Redesigned Watchdog to use Multiprocessing Manager; Invoke only 2 Event Monitors and use 2 queues for watching events; Configs are piped in via compiler now * Incorporate Codacy Suggestions * Fix lint comments * Fix failing unit tests to add the watchdog builder * Code review comments * Set version to dev0 in pyproject.toml * Update README.md Updated version in install instructions. * Update README.md (#758) Updated the installation branch to the most recent version. Co-authored-by: PhilippPlank <[email protected]> * Fix DelayDense buffer issue (#767) * update refport unittest to always wait when it writes to port for consistent behavior Signed-off-by: bamsumit <[email protected]> * Removed pyproject changes Signed-off-by: bamsumit <[email protected]> * Fix to convolution tests. Fixed imcompatible mnist_pretrained for old python versions. Signed-off-by: bamsumit <[email protected]> * Missing moudle parent fix Signed-off-by: bamsumit <[email protected]> * Added ConvVarModel * Added iterable callback function Signed-off-by: bamsumit <[email protected]> * Fix codacy issues in callback_fx.py * Fix linting in callback_fx.py * Fix codacy sig issue in callback_fx.py * Bugfix to pass the args by keyword * Delay Dense PyModel fix Signed-off-by: bamsumit <[email protected]> * Fixed unittests Signed-off-by: bamsumit <[email protected]> * Fixed sparse delay Signed-off-by: bamsumit <[email protected]> --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: Joyesh Mishra <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> * Allow np.array as input weights for Sparse (#772) * ndarray as input weights for Sparse * docs * codacy * remove implementation details from docstring and from tests * move tests to corresponding classes * put weight casting into extra method * Removed unused import --------- Co-authored-by: Mathis Richter <[email protected]> * Bump tornado from 6.3.2 to 6.3.3 (#778) Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.2 to 6.3.3. - [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst) - [Commits](tornadoweb/tornado@v6.3.2...v6.3.3) --- updated-dependencies: - dependency-name: tornado dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump cryptography from 41.0.2 to 41.0.3 (#779) Bumps [cryptography](https://github.com/pyca/cryptography) from 41.0.2 to 41.0.3. - [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst) - [Commits](pyca/cryptography@41.0.2...41.0.3) --- updated-dependencies: - dependency-name: cryptography dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Mathis Richter <[email protected]> * small docstring, typing and other formatting changes * Update README.md (#758) Updated the installation branch to the most recent version. Co-authored-by: PhilippPlank <[email protected]> * small docstring, typing and other formatting changes * doc strings for graded vec * Bump gitpython from 3.1.32 to 3.1.35 (#785) Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.35. - [Release notes](https://github.com/gitpython-developers/GitPython/releases) - [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES) - [Commits](gitpython-developers/GitPython@3.1.32...3.1.35) --- updated-dependencies: - dependency-name: gitpython dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * fixing merge conflicts on prodneuron * Merge Spike IO (#786) * Made changes to channel builder for SpikeIO * Added ChannelStub to configure channels * Added NcSpikeIOVarModel * Refined the NcSpikeIOVarModel * Add interface_type and populate it in SpikeIOVarModel * Add Interface Type * Test PyNcChannel for Dense and Sparse Data using Unix Message Queues * Faster encoding for sparse csp_port.send * Added msg_queue_id to NcSpikeIOVarModel * Added defaults for ByteEncoder * Add advance_io API to PyOutPort * Rename and refactor ConnectionConfig * Only create channels for ChannelBuilderPyNc; Ignore ChannelBuilderNx * Added spike_io_port to connection config and var model * Integrate lower C level code, fix Lava bugs * Fix merge * Add enum for spike io mode and add it to ConnectionConfig and SpikeIO Var Model * Fix indices dtype in sparse send to int32 * Add advance_time API to PyLoihiProcessModel * Initial commit for spikeio output mode * Rename to advance_to_time_step API * Switch to TIME_COMPARE mode as default * Commit for Spike Block Output Mode * Move the axon allocation to 2 instead of 1 for output side * Create a new config for watchdog and print warning; Set PyProcCompiler SpikeCounter Offset to None when object gets deleted * Expose Mac Address, Num Input Buckets and Use Ethernet Interface from ConnectionConfig * Fix lint specific errors * fix codacy errors * Fix an issue with length of connection_config list * Fix unit tests --------- Co-authored-by: yashward <[email protected]> Co-authored-by: Julia <[email protected]> * CLP tutorial 1 small patch (#773) * CLP initial commit: PrototypeLIF, NoveltyDetector, Readout procs/tests * small linting fix * Novelty detector upgraded to target next neuron; codacy errors fixed * integration test; small fixes * removed duplicate code in prototypeLIF process; linting fixes * linting fixes * Linting and codacy fixes * remove duplicate test; some more codacy fixes * PrototypeLIF spikes when it recieves a 3rd factor input * a test for PrototypeLIF output spike after 3rd factor input * Allocation & prototype id tracking is abstracted away from NoveltyDetector * Allocator process; Readout proc sends allocation trigger if error * introduce learning rate Var in PrototypeLIF * updated integration tests; full system test included * Linting fixes * Another small lintint fix * PrototypeLIF hard reset capability to enable faster temporal WTA * allocation mechanism changed; proc interfaces changes; dense conns added; lr var removed * small linting fix * small codacy fix * prints removed, spelling mistakes fixed * ignoring one check in an integration test * Revert "small linting fix" This reverts commit bde4fa9. * Fix linting in test_models.py * Test fix in utils.py * Fix test of bug fix in utils.py * Fix utils.py * Implemented individual threadsafe random call Signed-off-by: bamsumit <[email protected]> * fix figures, removed redundant cell --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: bamsumit <[email protected]> * CLP Tutorial 02: COIL-100 (#721) * CLP initial commit: PrototypeLIF, NoveltyDetector, Readout procs/tests * small linting fix * Novelty detector upgraded to target next neuron; codacy errors fixed * integration test; small fixes * removed duplicate code in prototypeLIF process; linting fixes * linting fixes * Linting and codacy fixes * remove duplicate test; some more codacy fixes * clp tutorial01 v1 * PrototypeLIF spikes when it recieves a 3rd factor input * a test for PrototypeLIF output spike after 3rd factor input * clp tutorial01 ready to be roughly finished * linting, license and utils fixes * CLP on COIL-100, extracted features from 42 objects, tutorial01 fixes * Allocation & prototype id tracking is abstracted away from NoveltyDetector * Allocator process; Readout proc sends allocation trigger if error * introduce learning rate Var in PrototypeLIF * updated integration tests; full system test included * Linting fixes * Another small lintint fix * clp tutorial 2, 20 class experiments (Coil-100) * PrototypeLIF hard reset capability to enable faster temporal WTA * allocation mechanism changed; proc interfaces changes; dense conns added; lr var removed * small linting fix * small codacy fix * prints removed, spelling mistakes fixed * ignoring one check in an integration test * Revert "small linting fix" This reverts commit bde4fa9. * CLP tutorial 1 is finalized * Fix linting in test_models.py * Test fix in utils.py * Fix test of bug fix in utils.py * Fix utils.py * Implemented individual threadsafe random call Signed-off-by: bamsumit <[email protected]> * tutorial 2 use new abstracted CLP class * CLP tutorial 2: unsupervised and supervised experiments are seperated * addressed reviewer's requests, added tests, removed pics etc * Update clp.py fix linting * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * CLP class and experiments improved; pytorch dependency removed; feature extraction added * Allocator accepts arbitrary initial index as param * New experiments; improved CLP class; continuous experimentation; new features for COIL-100; toch as optional dependency * linting fixes * Temporarily skipping CLP tutorials test till sk-learn is added * scikit-learn added to poetry; tutorial tst is re-enabled --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: bamsumit <[email protected]> * Bump cryptography from 41.0.3 to 41.0.4 (#790) Bumps [cryptography](https://github.com/pyca/cryptography) from 41.0.3 to 41.0.4. - [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst) - [Commits](pyca/cryptography@41.0.3...41.0.4) --- updated-dependencies: - dependency-name: cryptography dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Generalize int shape check in injector and extractor to take numpy ints (#792) * update refport unittest to always wait when it writes to port for consistent behavior Signed-off-by: bamsumit <[email protected]> * Removed pyproject changes Signed-off-by: bamsumit <[email protected]> * Fix to convolution tests. Fixed imcompatible mnist_pretrained for old python versions. Signed-off-by: bamsumit <[email protected]> * Missing moudle parent fix Signed-off-by: bamsumit <[email protected]> * Added ConvVarModel * Added iterable callback function Signed-off-by: bamsumit <[email protected]> * Fix codacy issues in callback_fx.py * Fix linting in callback_fx.py * Fix codacy sig issue in callback_fx.py * Bugfix to pass the args by keyword * Delay Dense PyModel fix Signed-off-by: bamsumit <[email protected]> * Fixed unittests Signed-off-by: bamsumit <[email protected]> * Fixed sparse delay Signed-off-by: bamsumit <[email protected]> * IO modules fixes Signed-off-by: bamsumit <[email protected]> * IO modules fixes Signed-off-by: bamsumit <[email protected]> --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: Joyesh Mishra <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> * Resfire (#787) * resfire process and fixed process model * changed vth->uth in RFZero. Added tests. * removed unused imports * unused imports, copyright statement. * bsd license on resfire models.py * Bump pillow from 10.0.0 to 10.0.1 (#794) Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.0.0 to 10.0.1. - [Release notes](https://github.com/python-pillow/Pillow/releases) - [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst) - [Commits](python-pillow/Pillow@10.0.0...10.0.1) --- updated-dependencies: - dependency-name: pillow dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: PhilippPlank <[email protected]> * Bump urllib3 from 1.26.16 to 1.26.17 (#793) Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.16 to 1.26.17. - [Release notes](https://github.com/urllib3/urllib3/releases) - [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst) - [Commits](urllib3/urllib3@1.26.16...1.26.17) --- updated-dependencies: - dependency-name: urllib3 dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: PhilippPlank <[email protected]> * mulitply for threshvec, fixes to frameworks imports, fixes for resfire network * rename ThreshVec to GradedVec and fixes. * lava VA tutorials. * slight updates to lava_va tutorials and removed csr_matrix cast * super needed, formatting, fixed test_network * Automatically create identity connections when using lva to connect vectors * NetworkList to keep track of + Networks. More flexibility in algebra syntax. * Updated tutorial 1 to demo automatic vec2vec connections and better + overloading * Updates to Tutorial01 that show automatic identity connections when connecting AlgebraicVectors and syntax. * Comments, docstrings, typing clean-up. * changing embedded io import location, in case theres no lava-loihi. * small codacy fixes. Test lava va tutorials. * Cleanup comments on test_graded.py and test_tutorials-lva.py --------- Signed-off-by: bamsumit <[email protected]> Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: Tim Shea <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Mathis Richter <[email protected]> Co-authored-by: bamsumit <[email protected]> Co-authored-by: Joyesh Mishra <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: Danielle Rager <[email protected]> Co-authored-by: Elvin Hajizada <[email protected]> Co-authored-by: Marcus G K Williams <Marcus G K Williams [email protected]> Co-authored-by: Gavin Parpart <[email protected]> Co-authored-by: Gavin Parpart <[email protected]> Co-authored-by: Alexander Henkes <[email protected]> Co-authored-by: Svea Marie Meyer <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: yashward <[email protected]> Co-authored-by: Julia <[email protected]>

* CLP initial commit: PrototypeLIF, NoveltyDetector, Readout procs/tests * small linting fix * Novelty detector upgraded to target next neuron; codacy errors fixed * integration test; small fixes * removed duplicate code in prototypeLIF process; linting fixes * linting fixes * Linting and codacy fixes * remove duplicate test; some more codacy fixes * clp tutorial01 v1 * PrototypeLIF spikes when it recieves a 3rd factor input * a test for PrototypeLIF output spike after 3rd factor input * clp tutorial01 ready to be roughly finished * linting, license and utils fixes * CLP on COIL-100, extracted features from 42 objects, tutorial01 fixes * Allocation & prototype id tracking is abstracted away from NoveltyDetector * Allocator process; Readout proc sends allocation trigger if error * introduce learning rate Var in PrototypeLIF * updated integration tests; full system test included * Linting fixes * Another small lintint fix * clp tutorial 2, 20 class experiments (Coil-100) * PrototypeLIF hard reset capability to enable faster temporal WTA * allocation mechanism changed; proc interfaces changes; dense conns added; lr var removed * small linting fix * small codacy fix * prints removed, spelling mistakes fixed * ignoring one check in an integration test * Revert "small linting fix" This reverts commit bde4fa9. * CLP tutorial 1 is finalized * Fix linting in test_models.py * Test fix in utils.py * Fix test of bug fix in utils.py * Fix utils.py * Implemented individual threadsafe random call Signed-off-by: bamsumit <[email protected]> * tutorial 2 use new abstracted CLP class * CLP tutorial 2: unsupervised and supervised experiments are seperated * addressed reviewer's requests, added tests, removed pics etc * Update clp.py fix linting * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * CLP class and experiments improved; pytorch dependency removed; feature extraction added * Allocator accepts arbitrary initial index as param * New experiments; improved CLP class; continuous experimentation; new features for COIL-100; toch as optional dependency * linting fixes * Temporarily skipping CLP tutorials test till sk-learn is added * scikit-learn added to poetry; tutorial tst is re-enabled --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: bamsumit <[email protected]>

* prod neuron * trying to get prod neuron to work... * trying to get prod neuron cpu to work... * prod neuron process cpu backend working with unit test * remove init file from prod_neuron * gradedvec process and test * working on norm vec * fixed prod neuron license headers * invsqrt model and tests, reconfigured to process and models * normvecdelay and tests, timing weirdness with normvecdelay * test for second channel of norm vec * renamed to prodneuron. * fixing some linting errors * cleanup * frameworks and networks added to lava-nc * adding some docstring, fixing unused imports * Fix partition parse bug for internal vLab (lava-nc#741) * Adding deprecated lava.utils.system. * Update system.py * Update system.py * Bugfix for missing fields in sinfo. --------- Co-authored-by: PhilippPlank <[email protected]> * Add linting tutorials folder (lava-nc#742) * serialization first try * first try * serialization implementation + unittests * fix linting * fix bandit * fix unittest * fix codacy * added tutorial * Update tutorial11_serialization.ipynb * added notebook to unit tests * Fixed broken link in tutorial. * fix linting * add tutorials folder to CI linting check * Update ci.yml * fix bug --------- Co-authored-by: Mathis Richter <[email protected]> * Iterator callback fx signature fix (lava-nc#743) * update refport unittest to always wait when it writes to port for consistent behavior Signed-off-by: bamsumit <[email protected]> * Removed pyproject changes Signed-off-by: bamsumit <[email protected]> * Fix to convolution tests. Fixed imcompatible mnist_pretrained for old python versions. Signed-off-by: bamsumit <[email protected]> * Missing moudle parent fix Signed-off-by: bamsumit <[email protected]> * Added ConvVarModel * Added iterable callback function Signed-off-by: bamsumit <[email protected]> * Fix codacy issues in callback_fx.py * Fix linting in callback_fx.py * Fix codacy sig issue in callback_fx.py --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: Joyesh Mishra <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> * Bugfix to pass the args by keyword (lava-nc#744) * CLP Tutorial 01 Only (lava-nc#746) * CLP initial commit: PrototypeLIF, NoveltyDetector, Readout procs/tests * small linting fix * Novelty detector upgraded to target next neuron; codacy errors fixed * integration test; small fixes * removed duplicate code in prototypeLIF process; linting fixes * linting fixes * Linting and codacy fixes * remove duplicate test; some more codacy fixes * clp tutorial01 v1 * PrototypeLIF spikes when it recieves a 3rd factor input * a test for PrototypeLIF output spike after 3rd factor input * clp tutorial01 ready to be roughly finished * linting, license and utils fixes * CLP on COIL-100, extracted features from 42 objects, tutorial01 fixes * Allocation & prototype id tracking is abstracted away from NoveltyDetector * Allocator process; Readout proc sends allocation trigger if error * introduce learning rate Var in PrototypeLIF * updated integration tests; full system test included * Linting fixes * Another small lintint fix * clp tutorial 2, 20 class experiments (Coil-100) * PrototypeLIF hard reset capability to enable faster temporal WTA * allocation mechanism changed; proc interfaces changes; dense conns added; lr var removed * small linting fix * small codacy fix * prints removed, spelling mistakes fixed * ignoring one check in an integration test * Revert "small linting fix" This reverts commit bde4fa9. * CLP tutorial 1 is finalized * Fix linting in test_models.py * Test fix in utils.py * Fix test of bug fix in utils.py * Fix utils.py * Implemented individual threadsafe random call Signed-off-by: bamsumit <[email protected]> * tutorial 2 use new abstracted CLP class * CLP tutorial 2: unsupervised and supervised experiments are seperated * addressed reviewer's requests, added tests, removed pics etc * Update clp.py fix linting * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * Removed sklearn dependency. Now np data gen. * rm COIL tutorial, dataset, tests from branch --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: Elvin Hajizada <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: bamsumit <[email protected]> * Update release job, add pypi upload, github release creation (lava-nc#737) * Add pypi upload, github release creation in cd.yml * Set version to 0.8.0.dev0 * Add readme to pyproject.toml * use v1.3 of composite action * Test run of release creation/pypi pub in cd.yml * Run tests from py 3.10 in cd.yml * Fix export of output vars in cd.yml --------- Co-authored-by: PhilippPlank <[email protected]> * Update release job, pypi auth Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> * Use github pypi auth in release job (lava-nc#747) * Update release job, pypi auth Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> * Add id-token to cd.yml --------- Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> Co-authored-by: Marcus G K Williams <Marcus G K Williams [email protected]> * Release 0.8.0 Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> * Fix conv python model to send() before recv() (lava-nc#751) Co-authored-by: Gavin Parpart <[email protected]> * Adds support for Monitor a Port to observe if it is blocked (lava-nc#755) * Adds support for Monitor a Port to observe if it is blocked * Fix lint issues * Redesigned Watchdog to use Multiprocessing Manager; Invoke only 2 Event Monitors and use 2 queues for watching events; Configs are piped in via compiler now * Incorporate Codacy Suggestions * Fix lint comments * Fix failing unit tests to add the watchdog builder * Code review comments * Set version to dev0 in pyproject.toml * Update README.md Updated version in install instructions. * Update README.md (lava-nc#758) Updated the installation branch to the most recent version. Co-authored-by: PhilippPlank <[email protected]> * Fix DelayDense buffer issue (lava-nc#767) * update refport unittest to always wait when it writes to port for consistent behavior Signed-off-by: bamsumit <[email protected]> * Removed pyproject changes Signed-off-by: bamsumit <[email protected]> * Fix to convolution tests. Fixed imcompatible mnist_pretrained for old python versions. Signed-off-by: bamsumit <[email protected]> * Missing moudle parent fix Signed-off-by: bamsumit <[email protected]> * Added ConvVarModel * Added iterable callback function Signed-off-by: bamsumit <[email protected]> * Fix codacy issues in callback_fx.py * Fix linting in callback_fx.py * Fix codacy sig issue in callback_fx.py * Bugfix to pass the args by keyword * Delay Dense PyModel fix Signed-off-by: bamsumit <[email protected]> * Fixed unittests Signed-off-by: bamsumit <[email protected]> * Fixed sparse delay Signed-off-by: bamsumit <[email protected]> --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: Joyesh Mishra <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> * Allow np.array as input weights for Sparse (lava-nc#772) * ndarray as input weights for Sparse * docs * codacy * remove implementation details from docstring and from tests * move tests to corresponding classes * put weight casting into extra method * Removed unused import --------- Co-authored-by: Mathis Richter <[email protected]> * Bump tornado from 6.3.2 to 6.3.3 (lava-nc#778) Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.2 to 6.3.3. - [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst) - [Commits](tornadoweb/tornado@v6.3.2...v6.3.3) --- updated-dependencies: - dependency-name: tornado dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump cryptography from 41.0.2 to 41.0.3 (lava-nc#779) Bumps [cryptography](https://github.com/pyca/cryptography) from 41.0.2 to 41.0.3. - [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst) - [Commits](pyca/cryptography@41.0.2...41.0.3) --- updated-dependencies: - dependency-name: cryptography dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Mathis Richter <[email protected]> * small docstring, typing and other formatting changes * Update README.md (lava-nc#758) Updated the installation branch to the most recent version. Co-authored-by: PhilippPlank <[email protected]> * small docstring, typing and other formatting changes * doc strings for graded vec * Bump gitpython from 3.1.32 to 3.1.35 (lava-nc#785) Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.35. - [Release notes](https://github.com/gitpython-developers/GitPython/releases) - [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES) - [Commits](gitpython-developers/GitPython@3.1.32...3.1.35) --- updated-dependencies: - dependency-name: gitpython dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * fixing merge conflicts on prodneuron * Merge Spike IO (lava-nc#786) * Made changes to channel builder for SpikeIO * Added ChannelStub to configure channels * Added NcSpikeIOVarModel * Refined the NcSpikeIOVarModel * Add interface_type and populate it in SpikeIOVarModel * Add Interface Type * Test PyNcChannel for Dense and Sparse Data using Unix Message Queues * Faster encoding for sparse csp_port.send * Added msg_queue_id to NcSpikeIOVarModel * Added defaults for ByteEncoder * Add advance_io API to PyOutPort * Rename and refactor ConnectionConfig * Only create channels for ChannelBuilderPyNc; Ignore ChannelBuilderNx * Added spike_io_port to connection config and var model * Integrate lower C level code, fix Lava bugs * Fix merge * Add enum for spike io mode and add it to ConnectionConfig and SpikeIO Var Model * Fix indices dtype in sparse send to int32 * Add advance_time API to PyLoihiProcessModel * Initial commit for spikeio output mode * Rename to advance_to_time_step API * Switch to TIME_COMPARE mode as default * Commit for Spike Block Output Mode * Move the axon allocation to 2 instead of 1 for output side * Create a new config for watchdog and print warning; Set PyProcCompiler SpikeCounter Offset to None when object gets deleted * Expose Mac Address, Num Input Buckets and Use Ethernet Interface from ConnectionConfig * Fix lint specific errors * fix codacy errors * Fix an issue with length of connection_config list * Fix unit tests --------- Co-authored-by: yashward <[email protected]> Co-authored-by: Julia <[email protected]> * CLP tutorial 1 small patch (lava-nc#773) * CLP initial commit: PrototypeLIF, NoveltyDetector, Readout procs/tests * small linting fix * Novelty detector upgraded to target next neuron; codacy errors fixed * integration test; small fixes * removed duplicate code in prototypeLIF process; linting fixes * linting fixes * Linting and codacy fixes * remove duplicate test; some more codacy fixes * PrototypeLIF spikes when it recieves a 3rd factor input * a test for PrototypeLIF output spike after 3rd factor input * Allocation & prototype id tracking is abstracted away from NoveltyDetector * Allocator process; Readout proc sends allocation trigger if error * introduce learning rate Var in PrototypeLIF * updated integration tests; full system test included * Linting fixes * Another small lintint fix * PrototypeLIF hard reset capability to enable faster temporal WTA * allocation mechanism changed; proc interfaces changes; dense conns added; lr var removed * small linting fix * small codacy fix * prints removed, spelling mistakes fixed * ignoring one check in an integration test * Revert "small linting fix" This reverts commit bde4fa9. * Fix linting in test_models.py * Test fix in utils.py * Fix test of bug fix in utils.py * Fix utils.py * Implemented individual threadsafe random call Signed-off-by: bamsumit <[email protected]> * fix figures, removed redundant cell --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: bamsumit <[email protected]> * CLP Tutorial 02: COIL-100 (lava-nc#721) * CLP initial commit: PrototypeLIF, NoveltyDetector, Readout procs/tests * small linting fix * Novelty detector upgraded to target next neuron; codacy errors fixed * integration test; small fixes * removed duplicate code in prototypeLIF process; linting fixes * linting fixes * Linting and codacy fixes * remove duplicate test; some more codacy fixes * clp tutorial01 v1 * PrototypeLIF spikes when it recieves a 3rd factor input * a test for PrototypeLIF output spike after 3rd factor input * clp tutorial01 ready to be roughly finished * linting, license and utils fixes * CLP on COIL-100, extracted features from 42 objects, tutorial01 fixes * Allocation & prototype id tracking is abstracted away from NoveltyDetector * Allocator process; Readout proc sends allocation trigger if error * introduce learning rate Var in PrototypeLIF * updated integration tests; full system test included * Linting fixes * Another small lintint fix * clp tutorial 2, 20 class experiments (Coil-100) * PrototypeLIF hard reset capability to enable faster temporal WTA * allocation mechanism changed; proc interfaces changes; dense conns added; lr var removed * small linting fix * small codacy fix * prints removed, spelling mistakes fixed * ignoring one check in an integration test * Revert "small linting fix" This reverts commit bde4fa9. * CLP tutorial 1 is finalized * Fix linting in test_models.py * Test fix in utils.py * Fix test of bug fix in utils.py * Fix utils.py * Implemented individual threadsafe random call Signed-off-by: bamsumit <[email protected]> * tutorial 2 use new abstracted CLP class * CLP tutorial 2: unsupervised and supervised experiments are seperated * addressed reviewer's requests, added tests, removed pics etc * Update clp.py fix linting * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * Update tutorial01_one-shot_learning_with_novelty_detection.ipynb * Update tutorial02_clp_on_coil100.ipynb * CLP class and experiments improved; pytorch dependency removed; feature extraction added * Allocator accepts arbitrary initial index as param * New experiments; improved CLP class; continuous experimentation; new features for COIL-100; toch as optional dependency * linting fixes * Temporarily skipping CLP tutorials test till sk-learn is added * scikit-learn added to poetry; tutorial tst is re-enabled --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: bamsumit <[email protected]> * Bump cryptography from 41.0.3 to 41.0.4 (lava-nc#790) Bumps [cryptography](https://github.com/pyca/cryptography) from 41.0.3 to 41.0.4. - [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst) - [Commits](pyca/cryptography@41.0.3...41.0.4) --- updated-dependencies: - dependency-name: cryptography dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Generalize int shape check in injector and extractor to take numpy ints (lava-nc#792) * update refport unittest to always wait when it writes to port for consistent behavior Signed-off-by: bamsumit <[email protected]> * Removed pyproject changes Signed-off-by: bamsumit <[email protected]> * Fix to convolution tests. Fixed imcompatible mnist_pretrained for old python versions. Signed-off-by: bamsumit <[email protected]> * Missing moudle parent fix Signed-off-by: bamsumit <[email protected]> * Added ConvVarModel * Added iterable callback function Signed-off-by: bamsumit <[email protected]> * Fix codacy issues in callback_fx.py * Fix linting in callback_fx.py * Fix codacy sig issue in callback_fx.py * Bugfix to pass the args by keyword * Delay Dense PyModel fix Signed-off-by: bamsumit <[email protected]> * Fixed unittests Signed-off-by: bamsumit <[email protected]> * Fixed sparse delay Signed-off-by: bamsumit <[email protected]> * IO modules fixes Signed-off-by: bamsumit <[email protected]> * IO modules fixes Signed-off-by: bamsumit <[email protected]> --------- Signed-off-by: bamsumit <[email protected]> Co-authored-by: Joyesh Mishra <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> * Resfire (lava-nc#787) * resfire process and fixed process model * changed vth->uth in RFZero. Added tests. * removed unused imports * unused imports, copyright statement. * bsd license on resfire models.py * Bump pillow from 10.0.0 to 10.0.1 (lava-nc#794) Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.0.0 to 10.0.1. - [Release notes](https://github.com/python-pillow/Pillow/releases) - [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst) - [Commits](python-pillow/Pillow@10.0.0...10.0.1) --- updated-dependencies: - dependency-name: pillow dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: PhilippPlank <[email protected]> * Bump urllib3 from 1.26.16 to 1.26.17 (lava-nc#793) Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.16 to 1.26.17. - [Release notes](https://github.com/urllib3/urllib3/releases) - [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst) - [Commits](urllib3/urllib3@1.26.16...1.26.17) --- updated-dependencies: - dependency-name: urllib3 dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: PhilippPlank <[email protected]> * mulitply for threshvec, fixes to frameworks imports, fixes for resfire network * rename ThreshVec to GradedVec and fixes. * lava VA tutorials. * slight updates to lava_va tutorials and removed csr_matrix cast * super needed, formatting, fixed test_network * Automatically create identity connections when using lva to connect vectors * NetworkList to keep track of + Networks. More flexibility in algebra syntax. * Updated tutorial 1 to demo automatic vec2vec connections and better + overloading * Updates to Tutorial01 that show automatic identity connections when connecting AlgebraicVectors and syntax. * Comments, docstrings, typing clean-up. * changing embedded io import location, in case theres no lava-loihi. * small codacy fixes. Test lava va tutorials. * Cleanup comments on test_graded.py and test_tutorials-lva.py --------- Signed-off-by: bamsumit <[email protected]> Signed-off-by: Marcus G K Williams <Marcus G K Williams [email protected]> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: Tim Shea <[email protected]> Co-authored-by: PhilippPlank <[email protected]> Co-authored-by: Mathis Richter <[email protected]> Co-authored-by: bamsumit <[email protected]> Co-authored-by: Joyesh Mishra <[email protected]> Co-authored-by: Marcus G K Williams <[email protected]> Co-authored-by: Danielle Rager <[email protected]> Co-authored-by: Elvin Hajizada <[email protected]> Co-authored-by: Marcus G K Williams <Marcus G K Williams [email protected]> Co-authored-by: Gavin Parpart <[email protected]> Co-authored-by: Gavin Parpart <[email protected]> Co-authored-by: Alexander Henkes <[email protected]> Co-authored-by: Svea Marie Meyer <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: yashward <[email protected]> Co-authored-by: Julia <[email protected]>

elvinhajizada added 18 commits May 30, 2023 22:44

CLP initial commit: PrototypeLIF, NoveltyDetector, Readout procs/tests

72ea8f2

Merge branch 'CLP-v1'

549bff4

small linting fix

f24738e

Novelty detector upgraded to target next neuron; codacy errors fixed

be9b147

integration test; small fixes

f29b056

removed duplicate code in prototypeLIF process; linting fixes

d8bae1f

linting fixes

f109810

Merge branch 'main' of https://github.com/lava-nc/lava

9f1ac3c

Merge branch 'CLP-v1-integration'

d649c43

Linting and codacy fixes

d15b4cc

remove duplicate test; some more codacy fixes

9a76d9e

clp tutorial01 v1

c1a8cdf

Merge branch 'main' of https://github.com/lava-nc/lava into CLP-v1-in…

584b0ca

…tegration

PrototypeLIF spikes when it recieves a 3rd factor input

bf68076

a test for PrototypeLIF output spike after 3rd factor input

e3b17b1

Merge branch 'main' into CLP-v1-integration

ae115d0

clp tutorial01 ready to be roughly finished

611b115

linting, license and utils fixes

df8f56e

elvinhajizada requested review from bamsumit, gkarray and awintel June 20, 2023 21:54

elvinhajizada self-assigned this Jun 20, 2023

elvinhajizada added 1-feature New feature request area: tutorials Issues with something in lava/tutorials 2-important/urgent Important and urgent issues labels Jun 20, 2023

elvinhajizada added 4 commits June 29, 2023 15:59

CLP on COIL-100, extracted features from 42 objects, tutorial01 fixes

5d4beae

Allocation & prototype id tracking is abstracted away from

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NoveltyDetector

Allocator process; Readout proc sends allocation trigger if error

7dedbc5

introduce learning rate Var in PrototypeLIF

26160cd

Merge branch 'main' of https://github.com/lava-nc/lava

310df71

elvinhajizada closed this Aug 14, 2023

elvinhajizada deleted the clp_tutorial01 branch August 14, 2023 13:22

elvinhajizada restored the clp_tutorial01 branch August 14, 2023 13:31

elvinhajizada reopened this Aug 14, 2023

elvinhajizada closed this Aug 14, 2023

elvinhajizada deleted the clp_tutorial01 branch August 14, 2023 13:33

elvinhajizada restored the clp_tutorial01 branch August 14, 2023 13:34

elvinhajizada reopened this Aug 14, 2023

Merge branch 'main' into clp_tutorial01

96db6ee

elvinhajizada changed the title ~~CLP Tutorials~~ CLP Tutorial 02: COIL-100 Aug 14, 2023

elvinhajizada added 5 commits August 25, 2023 23:46

CLP class and experiments improved; pytorch dependency removed;

4add314

feature extraction added

Allocator accepts arbitrary initial index as param

dab1323

New experiments; improved CLP class; continuous experimentation; new

17bc626

features for COIL-100; toch as optional dependency

Merge branch 'main' into clp_tutorial01

f853e31

linting fixes

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Temporarily skipping CLP tutorials test till sk-learn is added

bc02ffd

Merge branch 'main' into clp_tutorial01

1e4935f

PhilippPlank approved these changes Sep 18, 2023

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PhilippPlank and others added 3 commits September 21, 2023 14:00

Merge branch 'main' into clp_tutorial01

be60280

scikit-learn added to poetry; tutorial tst is re-enabled

60ea52f

Merge branch 'clp_tutorial01' of https://github.com/elvinhajizada/lava …

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…into clp_tutorial01

PhilippPlank merged commit 1e2c025 into lava-nc:main Sep 21, 2023
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elvinhajizada deleted the clp_tutorial01 branch September 21, 2023 12:58

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CLP Tutorial 02: COIL-100 #721

CLP Tutorial 02: COIL-100 #721

elvinhajizada commented Jun 20, 2023

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CLP Tutorial 02: COIL-100 #721

CLP Tutorial 02: COIL-100 #721

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elvinhajizada commented Jun 20, 2023

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