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SciPy / ML Jupyter Notebook

This Jupyter notebook is intended for use on the UCSD DataHub platform.

Pip Packages

Package                        Version
------------------------------ -------------------
absl-py                        0.10.0
alabaster                      0.7.12
alembic                        1.4.2
astor                          0.8.1
async-generator                1.10
attrs                          19.3.0
Babel                          2.8.0
backcall                       0.2.0
beautifulsoup4                 4.9.1
bleach                         3.1.5
blinker                        1.4
bokeh                          2.0.2
Bottleneck                     1.3.2
branca                         0.4.1
brotlipy                       0.7.0
bs4                            0.0.1
certifi                        2020.6.20
certipy                        0.1.3
cffi                           1.14.0
chardet                        3.0.4
click                          7.1.2
cloudpickle                    1.4.1
conda                          4.8.2
conda-package-handling         1.6.0
coverage                       5.2.1
coveralls                      2.1.2
cryptography                   2.9.2
cycler                         0.10.0
Cython                         0.29.20
cytoolz                        0.10.1
dask                           2.15.0
datascience                    0.15.6
decorator                      4.4.2
defusedxml                     0.6.0
dill                           0.3.2
distributed                    2.18.0
docopt                         0.6.2
docutils                       0.16
entrypoints                    0.3
env-backup                     0.0.3
fastcache                      1.1.0
folium                         0.11.0
fsspec                         0.7.4
fuzzywuzzy                     0.18.0
gast                           0.2.2
gmpy2                          2.1.0b1
google-pasta                   0.2.0
GPUtil                         1.4.0
grpcio                         1.31.0
h5py                           2.10.0
HeapDict                       1.0.1
idna                           2.9
imageio                        2.8.0
imagesize                      1.2.0
importlib-metadata             1.6.1
iniconfig                      1.0.1
ipykernel                      5.3.0
ipympl                         0.5.6
ipython                        7.15.0
ipython-genutils               0.2.0
ipywidgets                     7.5.1
jedi                           0.17.0
Jinja2                         2.11.2
joblib                         0.15.1
json5                          0.9.4
jsonschema                     3.2.0
jupyter                        1.0.0
jupyter-client                 6.1.3
jupyter-console                6.1.0
jupyter-core                   4.6.3
jupyter-telemetry              0.0.5
jupyter-tensorboard            0.2.0
jupyterhub                     1.1.0
jupyterlab                     2.1.3
jupyterlab-server              1.1.5
Keras-Applications             1.0.8
Keras-Preprocessing            1.1.2
kiwisolver                     1.2.0
llvmlite                       0.31.0
locket                         0.2.0
lxml                           4.5.2
Mako                           1.1.0
Markdown                       3.2.2
MarkupSafe                     1.1.1
matplotlib                     3.2.1
mistune                        0.8.4
mock                           4.0.2
more-itertools                 8.4.0
mpmath                         1.1.0
msgpack                        1.0.0
nbcluster-status               0.0.0
nbconvert                      5.6.1
nbformat                       5.0.6
nbgitpuller                    0.9.0.dev0
nbgrader                       0.6.0
nbmessages                     0.0.23
nbresuse                       0.2.0
networkx                       2.4
nltk                           3.5
notebook                       6.0.3
numba                          0.48.0
numexpr                        2.7.1
numpy                          1.18.5
oauthlib                       3.0.1
olefile                        0.46
oo-tools                       0.2.0
opencv-contrib-python-headless 3.4.5.20
opencv-python                  4.4.0.42
opt-einsum                     3.3.0
packaging                      20.4
pamela                         1.0.0
pandas                         1.1.0
pandocfilters                  1.4.2
parso                          0.7.0
partd                          1.1.0
patsy                          0.5.1
pexpect                        4.8.0
pickleshare                    0.7.5
Pillow                         6.2.2
pip                            20.1.1
pluggy                         0.13.1
prometheus-client              0.8.0
prompt-toolkit                 3.0.5
protobuf                       3.11.4
psutil                         5.7.0
ptyprocess                     0.6.0
py                             1.9.0
pycocotools                    2.0.1
pycosat                        0.6.3
pycparser                      2.20
pycurl                         7.43.0.5
Pygments                       2.6.1
PyJWT                          1.7.1
pyOpenSSL                      19.1.0
pyparsing                      2.4.7
PyQt5                          5.15.0
PyQt5-sip                      12.8.0
pyrsistent                     0.16.0
PySocks                        1.7.1
pytest                         6.0.1
python-dateutil                2.8.1
python-editor                  1.0.4
python-json-logger             0.1.11
pytz                           2020.1
PyWavelets                     1.1.1
PyYAML                         5.3.1
pyzmq                          19.0.1
qtconsole                      4.7.6
QtPy                           1.9.0
regex                          2020.7.14
requests                       2.24.0
rpy2                           3.1.0
ruamel-yaml                    0.15.80
ruamel.yaml                    0.16.6
ruamel.yaml.clib               0.2.0
scapy                          2.4.3
scikit-image                   0.16.2
scikit-learn                   0.22.2.post1
scipy                          1.4.1
seaborn                        0.10.1
Send2Trash                     1.5.0
setuptools                     47.3.1.post20200616
simplegeneric                  0.8.1
six                            1.15.0
snowballstemmer                2.0.0
sortedcontainers               2.2.2
soupsieve                      2.0.1
Sphinx                         3.2.1
sphinxcontrib-applehelp        1.0.2
sphinxcontrib-devhelp          1.0.2
sphinxcontrib-htmlhelp         1.0.3
sphinxcontrib-jsmath           1.0.1
sphinxcontrib-qthelp           1.0.3
sphinxcontrib-serializinghtml  1.1.4
SQLAlchemy                     1.3.17
statsmodels                    0.11.1
sympy                          1.5.1
tables                         3.6.1
tblib                          1.6.0
tensorboard                    1.15.0
tensorflow-estimator           1.15.1
tensorflow-gpu                 1.15.0
termcolor                      1.1.0
terminado                      0.8.3
testpath                       0.4.4
timeout-decorator              0.4.1
toml                           0.10.1
toolz                          0.10.0
torch                          1.2.0+cu92
torchvision                    0.4.0+cu92
tornado                        6.0.4
tqdm                           4.46.1
traitlets                      4.3.3
typing-extensions              3.7.4.2
tzlocal                        2.1
urllib3                        1.25.9
vincent                        0.4.4
wcwidth                        0.2.4
webencodings                   0.5.1
Werkzeug                       1.0.1
wheel                          0.34.2
widgetsnbextension             3.5.1
wrapt                          1.12.1
xlrd                           1.2.0
zict                           2.0.0
zipp                           3.1.0

Conda Environments

Base

name: base
channels:
  - conda-forge
  - defaults
dependencies:
  - _libgcc_mutex=0.1=conda_forge
  - _openmp_mutex=4.5=0_gnu
  - _r-mutex=1.0.1=anacondar_1
  - alembic=1.4.2=pyh9f0ad1d_0
  - async_generator=1.10=py_0
  - attrs=19.3.0=py_0
  - backcall=0.2.0=pyh9f0ad1d_0
  - beautifulsoup4=4.9.1=py37hc8dfbb8_0
  - binutils_impl_linux-64=2.34=h53a641e_5
  - binutils_linux-64=2.34=hc952b39_20
  - blas=2.14=openblas
  - bleach=3.1.5=pyh9f0ad1d_0
  - blinker=1.4=py_1
  - blosc=1.19.0=he1b5a44_0
  - bokeh=2.0.2=py37hc8dfbb8_0
  - bottleneck=1.3.2=py37h03ebfcd_1
  - brotlipy=0.7.0=py37h8f50634_1000
  - bwidget=1.9.14=0
  - bzip2=1.0.8=h516909a_2
  - ca-certificates=2020.6.20=hecda079_0
  - cairo=1.16.0=hcf35c78_1003
  - certifi=2020.6.20=py37hc8dfbb8_0
  - certipy=0.1.3=py_0
  - cffi=1.14.0=py37hd463f26_0
  - chardet=3.0.4=py37hc8dfbb8_1006
  - click=7.1.2=pyh9f0ad1d_0
  - cloudpickle=1.4.1=py_0
  - conda=4.8.2=py37_0
  - conda-package-handling=1.6.0=py37h8f50634_2
  - configurable-http-proxy=4.2.1=node13_he01fd0c_0
  - cryptography=2.9.2=py37hb09aad4_0
  - cudatoolkit=10.0.130=0
  - cudnn=7.6.5=cuda10.0_0
  - curl=7.69.1=h33f0ec9_0
  - cycler=0.10.0=py_2
  - cython=0.29.20=py37h3340039_0
  - cytoolz=0.10.1=py37h516909a_0
  - dask=2.15.0=py_0
  - dask-core=2.15.0=py_0
  - decorator=4.4.2=py_0
  - defusedxml=0.6.0=py_0
  - dill=0.3.2=pyh9f0ad1d_0
  - distributed=2.18.0=py37hc8dfbb8_0
  - entrypoints=0.3=py37hc8dfbb8_1001
  - fastcache=1.1.0=py37h8f50634_1
  - fontconfig=2.13.1=h86ecdb6_1001
  - freetype=2.10.2=he06d7ca_0
  - fribidi=1.0.9=h516909a_0
  - fsspec=0.7.4=py_0
  - gcc_impl_linux-64=7.5.0=hd420e75_6
  - gcc_linux-64=7.5.0=h09487f9_20
  - gettext=0.19.8.1=hc5be6a0_1002
  - gfortran_impl_linux-64=7.5.0=hdf63c60_6
  - gfortran_linux-64=7.5.0=h09487f9_20
  - glib=2.64.3=h6f030ca_0
  - gmp=6.2.0=he1b5a44_2
  - gmpy2=2.1.0b1=py37h04dde30_0
  - graphite2=1.3.13=he1b5a44_1001
  - gsl=2.6=h294904e_0
  - gxx_impl_linux-64=7.5.0=hdf63c60_6
  - gxx_linux-64=7.5.0=h09487f9_20
  - h5py=2.10.0=nompi_py37h513d04c_102
  - harfbuzz=2.4.0=h9f30f68_3
  - hdf5=1.10.5=nompi_h3c11f04_1104
  - heapdict=1.0.1=py_0
  - icu=64.2=he1b5a44_1
  - idna=2.9=py_1
  - imageio=2.8.0=py_0
  - importlib-metadata=1.6.1=py37hc8dfbb8_0
  - importlib_metadata=1.6.1=0
  - ipykernel=5.3.0=py37h43977f1_0
  - ipympl=0.5.6=pyh9f0ad1d_1
  - ipython=7.15.0=py37hc8dfbb8_0
  - ipython_genutils=0.2.0=py_1
  - ipywidgets=7.5.1=py_0
  - jedi=0.17.0=py37hc8dfbb8_0
  - jinja2=2.11.2=pyh9f0ad1d_0
  - joblib=0.15.1=py_0
  - jpeg=9d=h516909a_0
  - json5=0.9.4=pyh9f0ad1d_0
  - jsonschema=3.2.0=py37hc8dfbb8_1
  - jupyter_client=6.1.3=py_0
  - jupyter_core=4.6.3=py37hc8dfbb8_1
  - jupyter_telemetry=0.0.5=py_0
  - jupyterhub=1.1.0=py37_2
  - jupyterhub-base=1.1.0=py37_2
  - jupyterlab=2.1.3=py_0
  - jupyterlab_server=1.1.5=py_0
  - kiwisolver=1.2.0=py37h99015e2_0
  - krb5=1.17.1=h2fd8d38_0
  - ld_impl_linux-64=2.34=h53a641e_5
  - libblas=3.8.0=14_openblas
  - libcblas=3.8.0=14_openblas
  - libcurl=7.69.1=hf7181ac_0
  - libedit=3.1.20191231=h46ee950_0
  - libffi=3.2.1=he1b5a44_1007
  - libgcc-ng=9.2.0=h24d8f2e_2
  - libgfortran-ng=7.5.0=hdf63c60_6
  - libgomp=9.2.0=h24d8f2e_2
  - libiconv=1.15=h516909a_1006
  - liblapack=3.8.0=14_openblas
  - liblapacke=3.8.0=14_openblas
  - libllvm8=8.0.1=hc9558a2_0
  - libopenblas=0.3.7=h5ec1e0e_6
  - libpng=1.6.37=hed695b0_1
  - libprotobuf=3.11.4=h8b12597_0
  - libsodium=1.0.17=h516909a_0
  - libssh2=1.9.0=hab1572f_2
  - libstdcxx-ng=9.2.0=hdf63c60_2
  - libtiff=4.1.0=hc7e4089_6
  - libuuid=2.32.1=h14c3975_1000
  - libuv=1.34.0=h516909a_0
  - libwebp-base=1.1.0=h516909a_3
  - libxcb=1.13=h14c3975_1002
  - libxml2=2.9.10=hee79883_0
  - llvmlite=0.31.0=py37h5202443_1
  - locket=0.2.0=py_2
  - lz4-c=1.9.2=he1b5a44_1
  - lzo=2.10=h14c3975_1000
  - make=4.3=h516909a_0
  - mako=1.1.0=py_0
  - markupsafe=1.1.1=py37h8f50634_1
  - matplotlib-base=3.2.1=py37h30547a4_0
  - mistune=0.8.4=py37h8f50634_1001
  - mock=4.0.2=py37hc8dfbb8_0
  - mpc=1.1.0=h04dde30_1007
  - mpfr=4.0.2=he80fd80_1
  - mpmath=1.1.0=py_0
  - msgpack-python=1.0.0=py37h99015e2_1
  - nbconvert=5.6.1=py37hc8dfbb8_1
  - nbformat=5.0.6=py_0
  - nccl=2.7.8.1=hd6f8bf8_0
  - ncurses=6.1=hf484d3e_1002
  - networkx=2.4=py_1
  - nodejs=13.13.0=hf5d1a2b_0
  - notebook=6.0.3=py37hc8dfbb8_0
  - numba=0.48.0=py37hb3f55d8_0
  - numexpr=2.7.1=py37h0da4684_1
  - numpy=1.18.5=py37h8960a57_0
  - oauthlib=3.0.1=py_0
  - olefile=0.46=py_0
  - openssl=1.1.1g=h516909a_1
  - packaging=20.4=pyh9f0ad1d_0
  - pamela=1.0.0=py_0
  - pandoc=2.9.2.1=0
  - pandocfilters=1.4.2=py_1
  - pango=1.42.4=h7062337_4
  - parso=0.7.0=pyh9f0ad1d_0
  - partd=1.1.0=py_0
  - patsy=0.5.1=py_0
  - pcre=8.44=he1b5a44_0
  - pexpect=4.8.0=py37hc8dfbb8_1
  - pickleshare=0.7.5=py37hc8dfbb8_1001
  - pip=20.1.1=py_1
  - pixman=0.38.0=h516909a_1003
  - prometheus_client=0.8.0=pyh9f0ad1d_0
  - prompt-toolkit=3.0.5=py_0
  - protobuf=3.11.4=py37h3340039_1
  - psutil=5.7.0=py37h8f50634_1
  - pthread-stubs=0.4=h14c3975_1001
  - ptyprocess=0.6.0=py_1001
  - pycosat=0.6.3=py37h8f50634_1004
  - pycparser=2.20=py_0
  - pycurl=7.43.0.5=py37h16ce93b_0
  - pygments=2.6.1=py_0
  - pyjwt=1.7.1=py_0
  - pyopenssl=19.1.0=py_1
  - pyparsing=2.4.7=pyh9f0ad1d_0
  - pyrsistent=0.16.0=py37h8f50634_0
  - pysocks=1.7.1=py37hc8dfbb8_1
  - pytables=3.6.1=py37h9f153d1_1
  - python=3.7.6=cpython_h8356626_6
  - python-dateutil=2.8.1=py_0
  - python-editor=1.0.4=py_0
  - python-json-logger=0.1.11=py_0
  - python_abi=3.7=1_cp37m
  - pytz=2020.1=pyh9f0ad1d_0
  - pywavelets=1.1.1=py37h03ebfcd_1
  - pyyaml=5.3.1=py37h8f50634_0
  - pyzmq=19.0.1=py37hac76be4_0
  - r-askpass=1.1=r36hcdcec82_2
  - r-assertthat=0.2.1=r36h6115d3f_2
  - r-backports=1.1.8=r36hcdcec82_0
  - r-base=3.6.3=h316533a_2
  - r-base64enc=0.1_3=r36hcdcec82_1004
  - r-bit=1.1_15.2=r36hcdcec82_1
  - r-bit64=0.9_7=r36hcdcec82_1002
  - r-bitops=1.0_6=r36hcdcec82_1004
  - r-blob=1.2.1=r36h6115d3f_1
  - r-brew=1.0_6=r36h6115d3f_1003
  - r-broom=0.5.6=r36h6115d3f_1
  - r-callr=3.4.3=r36h6115d3f_1
  - r-caret=6.0_86=r36hcdcec82_2
  - r-cellranger=1.1.0=r36h6115d3f_1003
  - r-class=7.3_17=r36hcdcec82_1
  - r-cli=2.0.2=r36h6115d3f_1
  - r-clipr=0.7.0=r36h6115d3f_1
  - r-codetools=0.2_16=r36h6115d3f_1002
  - r-colorspace=1.4_1=r36hcdcec82_2
  - r-commonmark=1.7=r36hcdcec82_1002
  - r-covr=3.5.0=r36h0357c0b_1
  - r-crayon=1.3.4=r36h6115d3f_1003
  - r-crosstalk=1.1.0.1=r36h6115d3f_1
  - r-curl=4.3=r36hcdcec82_1
  - r-data.table=1.12.8=r36hcdcec82_1
  - r-dbi=1.1.0=r36h6115d3f_1
  - r-dbplyr=1.4.4=r36h6115d3f_0
  - r-desc=1.2.0=r36h6115d3f_1003
  - r-devtools=2.3.0=r36h6115d3f_1
  - r-digest=0.6.25=r36h0357c0b_2
  - r-dplyr=1.0.0=r36h0357c0b_0
  - r-dt=0.13=r36h6115d3f_1
  - r-ellipsis=0.3.1=r36hcdcec82_0
  - r-evaluate=0.14=r36h6115d3f_2
  - r-fansi=0.4.1=r36hcdcec82_1
  - r-farver=2.0.3=r36h0357c0b_1
  - r-fastmap=1.0.1=r36h0357c0b_1
  - r-forcats=0.5.0=r36h6115d3f_1
  - r-foreach=1.5.0=r36h6115d3f_1
  - r-forecast=8.12=r36hc8faad4_1
  - r-fracdiff=1.5_1=r36hc57f18f_1
  - r-fs=1.4.1=r36h0357c0b_1
  - r-generics=0.0.2=r36h6115d3f_1003
  - r-ggplot2=3.3.1=r36h6115d3f_0
  - r-gh=1.1.0=r36h6115d3f_1
  - r-git2r=0.27.1=r36h7253d3a_0
  - r-glue=1.4.1=r36hcdcec82_0
  - r-gower=0.2.1=r36hcdcec82_2
  - r-gtable=0.3.0=r36h6115d3f_3
  - r-haven=2.3.1=r36hde08347_0
  - r-hexbin=1.28.1=r36h9bbef5b_1
  - r-highr=0.8=r36h6115d3f_2
  - r-hms=0.5.3=r36h6115d3f_1
  - r-htmltools=0.4.0=r36h0357c0b_1
  - r-htmlwidgets=1.5.1=r36h6115d3f_1
  - r-httpuv=1.5.4=r36h0357c0b_0
  - r-httr=1.4.1=r36h6115d3f_2
  - r-ini=0.3.1=r36h6115d3f_1003
  - r-ipred=0.9_9=r36hcdcec82_2
  - r-irdisplay=0.7=r36_1002
  - r-irkernel=1.1=r36h6115d3f_1
  - r-isoband=0.2.1=r36h0357c0b_1
  - r-iterators=1.0.12=r36h6115d3f_1
  - r-jsonlite=1.6.1=r36hcdcec82_1
  - r-kernsmooth=2.23_17=r36hfa343cc_1
  - r-knitr=1.28=r36h6115d3f_1
  - r-labeling=0.3=r36h6115d3f_1003
  - r-later=1.1.0.1=r36h0357c0b_0
  - r-lattice=0.20_41=r36hcdcec82_2
  - r-lava=1.6.7=r36h6115d3f_1
  - r-lazyeval=0.2.2=r36hcdcec82_2
  - r-lifecycle=0.2.0=r36h6115d3f_1
  - r-lmtest=0.9_37=r36h9bbef5b_3
  - r-lubridate=1.7.9=r36h0357c0b_0
  - r-magrittr=1.5=r36h6115d3f_1003
  - r-markdown=1.1=r36hcdcec82_1
  - r-mass=7.3_51.6=r36hcdcec82_2
  - r-matrix=1.2_18=r36h7fa42b6_3
  - r-memoise=1.1.0=r36h6115d3f_1004
  - r-mgcv=1.8_31=r36h7fa42b6_1
  - r-mime=0.9=r36hcdcec82_1
  - r-modelmetrics=1.2.2.2=r36h0357c0b_1
  - r-modelr=0.1.8=r36h6115d3f_0
  - r-munsell=0.5.0=r36h6115d3f_1003
  - r-nlme=3.1_148=r36h9bbef5b_0
  - r-nnet=7.3_14=r36hcdcec82_1
  - r-numderiv=2016.8_1.1=r36h6115d3f_2
  - r-nycflights13=1.0.1=r36h6115d3f_1
  - r-openssl=1.4.1=r36he5c4762_1
  - r-pbdzmq=0.3_3=r36h559a7a4_1003
  - r-pillar=1.4.4=r36h6115d3f_0
  - r-pkgbuild=1.0.8=r36h6115d3f_0
  - r-pkgconfig=2.0.3=r36h6115d3f_1
  - r-pkgload=1.1.0=r36h0357c0b_0
  - r-plogr=0.2.0=r36h6115d3f_1003
  - r-plyr=1.8.6=r36h0357c0b_1
  - r-praise=1.0.0=r36h6115d3f_1004
  - r-prettyunits=1.1.1=r36h6115d3f_1
  - r-proc=1.16.2=r36h0357c0b_1
  - r-processx=3.4.2=r36hcdcec82_1
  - r-prodlim=2019.11.13=r36h0357c0b_1
  - r-progress=1.2.2=r36h6115d3f_2
  - r-promises=1.1.1=r36h0357c0b_0
  - r-ps=1.3.3=r36hcdcec82_0
  - r-purrr=0.3.4=r36hcdcec82_1
  - r-quadprog=1.5_8=r36hfa343cc_2
  - r-quantmod=0.4.17=r36h6115d3f_1
  - r-r6=2.4.1=r36h6115d3f_1
  - r-randomforest=4.6_14=r36h9bbef5b_1003
  - r-rcmdcheck=1.3.3=r36h6115d3f_3
  - r-rcolorbrewer=1.1_2=r36h6115d3f_1003
  - r-rcpp=1.0.4.6=r36h0357c0b_1
  - r-rcpparmadillo=0.9.900.1.0=r36h51c796c_0
  - r-rcurl=1.98_1.2=r36hcdcec82_1
  - r-readr=1.3.1=r36h0357c0b_1004
  - r-readxl=1.3.1=r36hde08347_4
  - r-recipes=0.1.12=r36h6115d3f_1
  - r-rematch=1.0.1=r36h6115d3f_1003
  - r-rematch2=2.1.2=r36h6115d3f_1
  - r-remotes=2.1.1=r36h6115d3f_1
  - r-repr=1.1.0=r36h6115d3f_1
  - r-reprex=0.3.0=r36h6115d3f_2
  - r-reshape2=1.4.4=r36h0357c0b_1
  - r-rex=1.2.0=r36h6115d3f_1
  - r-rlang=0.4.6=r36hcdcec82_0
  - r-rmarkdown=2.1=r36h6115d3f_1
  - r-roxygen2=7.1.0=r36h0357c0b_1
  - r-rpart=4.1_15=r36hcdcec82_2
  - r-rprojroot=1.3_2=r36h6115d3f_1003
  - r-rsqlite=2.2.0=r36h0357c0b_2
  - r-rstudioapi=0.11=r36h6115d3f_1
  - r-rversions=2.0.2=r36h6115d3f_0
  - r-rvest=0.3.5=r36h6115d3f_1
  - r-scales=1.1.1=r36h6115d3f_0
  - r-selectr=0.4_2=r36h6115d3f_1
  - r-sessioninfo=1.1.1=r36h6115d3f_1002
  - r-shiny=1.4.0.2=r36h6115d3f_1
  - r-sourcetools=0.1.7=r36he1b5a44_1002
  - r-squarem=2020.3=r36h6115d3f_0
  - r-stringi=1.4.6=r36h0e574ca_2
  - r-stringr=1.4.0=r36h6115d3f_2
  - r-survival=3.2_3=r36hcdcec82_0
  - r-sys=3.3=r36hcdcec82_1
  - r-testthat=2.3.2=r36h0357c0b_1
  - r-tibble=3.0.1=r36hcdcec82_1
  - r-tidyr=1.1.0=r36h0357c0b_0
  - r-tidyselect=1.1.0=r36h6115d3f_0
  - r-tidyverse=1.3.0=r36h6115d3f_2
  - r-timedate=3043.102=r36h6115d3f_1002
  - r-tinytex=0.23=r36h6115d3f_0
  - r-tseries=0.10_47=r36hfa343cc_4
  - r-ttr=0.23_6=r36hcdcec82_1
  - r-urca=1.3_0=r36h9bbef5b_1005
  - r-usethis=1.6.1=r36h6115d3f_1
  - r-utf8=1.1.4=r36hcdcec82_1003
  - r-uuid=0.1_4=r36hcdcec82_1
  - r-vctrs=0.3.1=r36hcdcec82_0
  - r-viridislite=0.3.0=r36h6115d3f_1003
  - r-whisker=0.4=r36h6115d3f_1
  - r-withr=2.2.0=r36h6115d3f_1
  - r-xfun=0.14=r36h6115d3f_0
  - r-xml2=1.3.2=r36h0357c0b_1
  - r-xopen=1.0.0=r36h6115d3f_1003
  - r-xtable=1.8_4=r36h6115d3f_3
  - r-xts=0.12_0=r36hcdcec82_1
  - r-yaml=2.2.1=r36hcdcec82_1
  - r-zeallot=0.1.0=r36h6115d3f_1002
  - r-zoo=1.8_8=r36hcdcec82_0
  - readline=8.0=hf8c457e_0
  - requests=2.24.0=pyh9f0ad1d_0
  - rpy2=3.1.0=py37r36hc1659b7_3
  - ruamel.yaml=0.16.6=py37h8f50634_1
  - ruamel.yaml.clib=0.2.0=py37h8f50634_1
  - ruamel_yaml=0.15.80=py37h8f50634_1001
  - scikit-image=0.16.2=py37hb3f55d8_0
  - scikit-learn=0.22.2.post1=py37hcdab131_0
  - scipy=1.4.1=py37ha3d9a3c_3
  - seaborn=0.10.1=1
  - seaborn-base=0.10.1=py_1
  - sed=4.7=h1bed415_1000
  - send2trash=1.5.0=py_0
  - setuptools=47.3.1=py37hc8dfbb8_0
  - simplegeneric=0.8.1=py_1
  - six=1.15.0=pyh9f0ad1d_0
  - sortedcontainers=2.2.2=pyh9f0ad1d_0
  - soupsieve=2.0.1=py37hc8dfbb8_0
  - sqlalchemy=1.3.17=py37h8f50634_0
  - sqlite=3.30.1=hcee41ef_0
  - statsmodels=0.11.1=py37h8f50634_2
  - sympy=1.5.1=py37hc8dfbb8_3
  - tblib=1.6.0=py_0
  - terminado=0.8.3=py37hc8dfbb8_1
  - testpath=0.4.4=py_0
  - tini=0.18.0=h14c3975_1001
  - tk=8.6.10=hed695b0_0
  - tktable=2.10=h555a92e_3
  - toolz=0.10.0=py_0
  - tornado=6.0.4=py37h8f50634_1
  - tqdm=4.46.1=pyh9f0ad1d_0
  - traitlets=4.3.3=py37hc8dfbb8_1
  - typing_extensions=3.7.4.2=py_0
  - tzlocal=2.1=pyh9f0ad1d_0
  - urllib3=1.25.9=py_0
  - vincent=0.4.4=py_1
  - wcwidth=0.2.4=pyh9f0ad1d_0
  - webencodings=0.5.1=py_1
  - wheel=0.34.2=py_1
  - widgetsnbextension=3.5.1=py37_0
  - xlrd=1.2.0=py_0
  - xorg-kbproto=1.0.7=h14c3975_1002
  - xorg-libice=1.0.10=h516909a_0
  - xorg-libsm=1.2.3=h84519dc_1000
  - xorg-libx11=1.6.9=h516909a_0
  - xorg-libxau=1.0.9=h14c3975_0
  - xorg-libxdmcp=1.1.3=h516909a_0
  - xorg-libxext=1.3.4=h516909a_0
  - xorg-libxrender=0.9.10=h516909a_1002
  - xorg-renderproto=0.11.1=h14c3975_1002
  - xorg-xextproto=7.3.0=h14c3975_1002
  - xorg-xproto=7.0.31=h14c3975_1007
  - xz=5.2.5=h516909a_0
  - yaml=0.2.5=h516909a_0
  - zeromq=4.3.2=he1b5a44_2
  - zict=2.0.0=py_0
  - zipp=3.1.0=py_0
  - zlib=1.2.11=h516909a_1006
  - zstd=1.4.4=h6597ccf_3
  - pip:
    - absl-py==0.10.0
    - alabaster==0.7.12
    - astor==0.8.1
    - babel==2.8.0
    - branca==0.4.1
    - bs4==0.0.1
    - coverage==5.2.1
    - coveralls==2.1.2
    - datascience==0.15.6
    - docopt==0.6.2
    - docutils==0.16
    - env-backup==0.0.3
    - folium==0.11.0
    - fuzzywuzzy==0.18.0
    - gast==0.2.2
    - google-pasta==0.2.0
    - gputil==1.4.0
    - grpcio==1.31.0
    - imagesize==1.2.0
    - iniconfig==1.0.1
    - jupyter==1.0.0
    - jupyter-console==6.1.0
    - jupyter-tensorboard==0.2.0
    - keras-applications==1.0.8
    - keras-preprocessing==1.1.2
    - lxml==4.5.2
    - markdown==3.2.2
    - more-itertools==8.4.0
    - nbcluster-status==0.0.0
    - nbgitpuller==0.9.0.dev0
    - nbgrader==0.6.0
    - nbmessages==0.0.23
    - nbresuse==0.2.0
    - nltk==3.5
    - oo-tools==0.2.0
    - opencv-contrib-python-headless==3.4.5.20
    - opencv-python==4.4.0.42
    - opt-einsum==3.3.0
    - pandas==1.1.0
    - pillow==6.2.2
    - pluggy==0.13.1
    - py==1.9.0
    - pycocotools==2.0.1
    - pyqt5==5.15.0
    - pyqt5-sip==12.8.0
    - pytest==6.0.1
    - qtconsole==4.7.6
    - qtpy==1.9.0
    - regex==2020.7.14
    - scapy==2.4.3
    - snowballstemmer==2.0.0
    - sphinx==3.2.1
    - sphinxcontrib-applehelp==1.0.2
    - sphinxcontrib-devhelp==1.0.2
    - sphinxcontrib-htmlhelp==1.0.3
    - sphinxcontrib-jsmath==1.0.1
    - sphinxcontrib-qthelp==1.0.3
    - sphinxcontrib-serializinghtml==1.1.4
    - tensorboard==1.15.0
    - tensorflow-estimator==1.15.1
    - tensorflow-gpu==1.15.0
    - termcolor==1.1.0
    - timeout-decorator==0.4.1
    - toml==0.10.1
    - torch==1.2.0+cu92
    - torchvision==0.4.0+cu92
    - werkzeug==1.0.1
    - wrapt==1.12.1

ml-latest

Latest machine learning packages for CUDA 10.1

name: ml-latest
channels:
  - conda-forge
  - defaults
dependencies:
  - _libgcc_mutex=0.1=conda_forge
  - _openmp_mutex=4.5=1_gnu
  - ca-certificates=2020.6.20=hecda079_0
  - certifi=2020.6.20=py38h32f6830_0
  - cudatoolkit=10.1.243=h6bb024c_0
  - cudnn=7.6.5=cuda10.1_0
  - ld_impl_linux-64=2.34=hc38a660_9
  - libffi=3.2.1=he1b5a44_1007
  - libgcc-ng=9.3.0=h24d8f2e_16
  - libgomp=9.3.0=h24d8f2e_16
  - libstdcxx-ng=9.3.0=hdf63c60_16
  - nccl=2.7.8.1=h51cf6c1_0
  - ncurses=6.2=he1b5a44_1
  - openssl=1.1.1g=h516909a_1
  - pip=20.2.2=py_0
  - python=3.8.5=h1103e12_5_cpython
  - python_abi=3.8=1_cp38
  - readline=8.0=he28a2e2_2
  - setuptools=49.6.0=py38h32f6830_0
  - sqlite=3.33.0=h4cf870e_0
  - tk=8.6.10=hed695b0_0
  - wheel=0.35.1=pyh9f0ad1d_0
  - xz=5.2.5=h516909a_1
  - zlib=1.2.11=h516909a_1007
  - pip:
    - absl-py==0.10.0
    - alabaster==0.7.12
    - argon2-cffi==20.1.0
    - astunparse==1.6.3
    - attrs==20.1.0
    - babel==2.8.0
    - backcall==0.2.0
    - bleach==3.1.5
    - bokeh==2.2.0
    - branca==0.4.1
    - cachetools==4.1.1
    - cffi==1.14.2
    - chardet==3.0.4
    - click==7.1.2
    - coverage==5.2.1
    - coveralls==2.1.2
    - cycler==0.10.0
    - datascience==0.15.6
    - decorator==4.4.2
    - defusedxml==0.6.0
    - docopt==0.6.2
    - docutils==0.16
    - entrypoints==0.3
    - folium==0.11.0
    - future==0.18.2
    - gast==0.3.3
    - google-auth==1.20.1
    - google-auth-oauthlib==0.4.1
    - google-pasta==0.2.0
    - grpcio==1.31.0
    - h5py==2.10.0
    - idna==2.10
    - imagesize==1.2.0
    - iniconfig==1.0.1
    - ipykernel==5.3.4
    - ipython==7.17.0
    - ipython-genutils==0.2.0
    - ipywidgets==7.5.1
    - jedi==0.17.2
    - jinja2==2.11.2
    - joblib==0.16.0
    - jsonschema==3.2.0
    - jupyter-client==6.1.7
    - jupyter-core==4.6.3
    - keras-preprocessing==1.1.2
    - kiwisolver==1.2.0
    - markdown==3.2.2
    - markupsafe==1.1.1
    - matplotlib==3.3.1
    - mistune==0.8.4
    - more-itertools==8.4.0
    - nbconvert==5.6.1
    - nbformat==5.0.7
    - nltk==3.5
    - notebook==6.1.3
    - numpy==1.19.1
    - oauthlib==3.1.0
    - opencv-python==4.4.0.42
    - opt-einsum==3.3.0
    - packaging==20.4
    - pandas==1.1.1
    - pandocfilters==1.4.2
    - parso==0.7.1
    - pexpect==4.8.0
    - pickleshare==0.7.5
    - pillow==7.2.0
    - plotly==4.9.0
    - pluggy==0.13.1
    - prometheus-client==0.8.0
    - prompt-toolkit==3.0.6
    - protobuf==3.13.0
    - ptyprocess==0.6.0
    - py==1.9.0
    - pyasn1==0.4.8
    - pyasn1-modules==0.2.8
    - pycparser==2.20
    - pygments==2.6.1
    - pyparsing==2.4.7
    - pyrsistent==0.16.0
    - pytest==6.0.1
    - python-dateutil==2.8.1
    - pytz==2020.1
    - pyyaml==5.3.1
    - pyzmq==19.0.2
    - regex==2020.7.14
    - requests==2.24.0
    - requests-oauthlib==1.3.0
    - retrying==1.3.3
    - rsa==4.6
    - scapy==2.4.3
    - scipy==1.4.1
    - seaborn==0.10.1
    - send2trash==1.5.0
    - six==1.15.0
    - snowballstemmer==2.0.0
    - sphinx==3.2.1
    - sphinxcontrib-applehelp==1.0.2
    - sphinxcontrib-devhelp==1.0.2
    - sphinxcontrib-htmlhelp==1.0.3
    - sphinxcontrib-jsmath==1.0.1
    - sphinxcontrib-qthelp==1.0.3
    - sphinxcontrib-serializinghtml==1.1.4
    - tensorboard==2.3.0
    - tensorboard-plugin-wit==1.7.0
    - tensorflow-estimator==2.3.0
    - tensorflow-gpu==2.3.0
    - termcolor==1.1.0
    - terminado==0.8.3
    - testpath==0.4.4
    - toml==0.10.1
    - torch==1.5.0+cu101
    - torchvision==0.6.0+cu101
    - tornado==6.0.4
    - tqdm==4.48.2
    - traitlets==4.3.3
    - typing-extensions==3.7.4.3
    - urllib3==1.25.10
    - wcwidth==0.2.5
    - webencodings==0.5.1
    - werkzeug==1.0.1
    - widgetsnbextension==3.5.1
    - wrapt==1.12.1