Releases: LLNL/GPLaSDI
Releases · LLNL/GPLaSDI
v2.0.0
- Updated prerequisite versions
- example-agnostic core routines
- API reference documentation framework
What's Changed
- Packaging core routines by @dreamer2368 in #1
- Physics class + Lassen compatibility by @dreamer2368 in #2
- ParameterSpace class by @dreamer2368 in #5
- extended dictionary of activation functions for autoencoder by @dreamer2368 in #7
- High-order FD time derivative for SINDy by @dreamer2368 in #6
- Latent dynamics & GP factorization by @dreamer2368 in #8
- Restart capability and offline FOM interface by @dreamer2368 in #9
- Modularizing encoder/decoder in Autoencoder class by @dreamer2368 in #10
- Sphinx API documentation framework by @dreamer2368 in #11
New Contributors
- @dreamer2368 made their first contribution in #1
Full Changelog: v1.0.0...v2.0.0
v1.0.0
Prerequisites:
- Python 3.7.10
- PyTorch 1.7.1
- NumPy 1.19.2
- Scikit-Learn 0.24.1
- Scipy 1.4.1
- Matplotlib 3.3.4
For LLNL LC Lassen:
OpenCE-1.1.2