This Jupyter notebook is intended for use on the UCSD DataHub platform.
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
name: base
channels:
- conda-forge
- defaults
dependencies:
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- 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
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