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June 22, 2018 21:12
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kaggle/python conda list
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_ipyw_jlab_nb_ext_conf 0.1.0 py36he11e457_0 | |
absl-py 0.1.13 <pip> | |
alabaster 0.7.10 py36h306e16b_0 | |
algopy 0.5.7 <pip> | |
altair 1.2.1 <pip> | |
anaconda custom py36hbbc8b67_0 | |
anaconda-client 1.6.5 py36h19c0dcd_0 | |
anaconda-navigator 1.6.9 py36h11ddaaa_0 | |
anaconda-project 0.8.0 py36h29abdf5_0 | |
annoy 1.11.5 <pip> | |
appdirs 1.4.3 <pip> | |
arrow 0.12.1 <pip> | |
asn1crypto 0.22.0 py36h265ca7c_1 | |
astor 0.6.2 <pip> | |
astroid 1.5.3 py36hbdb9df2_0 | |
astropy 2.0.2 py36ha51211e_4 | |
attrs 17.4.0 <pip> | |
audioread 2.1.5 <pip> | |
awscli 1.14.70 <pip> | |
babel 2.5.0 py36h7d14adf_0 | |
backports 1.0 py36hfa02d7e_1 | |
backports.shutil_get_terminal_size 1.0.0 py36hfea85ff_2 | |
Baker 1.3 <pip> | |
basemap 1.1.0 <pip> | |
bayesian-optimization 0.6.0 <pip> | |
bayespy 0.5.14 <pip> | |
bcolz 1.2.0 <pip> | |
beautifulsoup4 4.6.0 py36h49b8c8c_1 | |
biopython 1.71 <pip> | |
bitarray 0.8.1 py36h5834eb8_0 | |
bkcharts 0.2 py36h735825a_0 | |
blaze 0.11.3 py36h4e06776_0 | |
bleach 1.5.0 <pip> | |
bleach 2.0.0 py36h688b259_0 | |
blist 1.3.6 <pip> | |
bokeh 0.12.10 py36hbb0e44a_0 | |
boto 2.48.0 py36h6e4cd66_1 | |
boto3 1.6.23 <pip> | |
botocore 1.9.23 <pip> | |
bottleneck 1.2.1 py36haac1ea0_0 | |
branca 0.2.0 <pip> | |
brewer2mpl 1.4.1 <pip> | |
bz2file 0.98 <pip> | |
bzip2 1.0.6 h0376d23_1 | |
ca-certificates 2018.1.18 0 conda-forge | |
cachetools 2.0.1 <pip> | |
cairo 1.14.10 haa5651f_5 | |
cartopy 0.16.0 py36_0 conda-forge | |
Cartopy-0.16.1.dev15 <pip> | |
catboost 0.7 <pip> | |
category-encoders 1.2.6 <pip> | |
certifi 2018.1.18 py36_0 conda-forge | |
cffi 1.10.0 py36had8d393_1 | |
chainer 3.5.0 <pip> | |
chardet 3.0.4 py36h0f667ec_1 | |
click 6.7 py36h5253387_0 | |
click-plugins 1.0.3 <pip> | |
cliff 2.8.1 <pip> | |
cligj 0.4.0 <pip> | |
cloudpickle 0.4.0 py36h30f8c20_0 | |
clyent 1.2.2 py36h7e57e65_1 | |
colorama 0.3.7 <pip> | |
colorama 0.3.9 py36h489cec4_0 | |
colorcet 1.0.0 py36h86301b6_0 bokeh | |
colorlover 0.2.1 <pip> | |
conda 4.3.34 py36_0 conda-forge | |
conda-build 3.0.27 py36h940a66d_0 | |
conda-env 2.6.0 0 conda-forge | |
conda-verify 2.0.0 py36h98955d8_0 | |
ConfigArgParse 0.13.0 <pip> | |
configparser 3.5.0 <pip> | |
contextlib2 0.5.5 py36h6c84a62_0 | |
coverage 4.5.1 <pip> | |
cryptography 2.0.3 py36ha225213_1 | |
cssselect 1.0.3 <pip> | |
cudatoolkit 8.0 3 | |
cudnn 7.0.5 cuda8.0_0 | |
cufflinks 0.12.1 <pip> | |
curl 7.55.1 hcb0b314_2 | |
cvxcanon 0.1.1 py36h7353a8a_0 | |
cvxpy 0.4.11 <pip> | |
cycler 0.10.0 py36h93f1223_0 | |
cymem 1.31.2 py36_0 conda-forge | |
cysignals 1.6.9 <pip> | |
cython 0.26.1 py36h21c49d0_0 | |
cytoolz 0.8.2 py36h708bfd4_0 | |
dask 0.15.4 py36h31fc154_0 | |
dask 0.17.2 <pip> | |
dask-core 0.15.4 py36h7045e13_0 | |
dask-glm 0.1.0 <pip> | |
dask-ml 0.4.1 <pip> | |
dask-searchcv 0.2.0 <pip> | |
dask-xgboost 0.1.5 <pip> | |
datashader 0.6.5 py36_0 bokeh | |
datashape 0.5.4 py36h3ad6b5c_0 | |
dbus 1.10.22 h3b5a359_0 | |
deap 1.2.2 <pip> | |
decorator 4.1.2 py36hd076ac8_0 | |
deepdish 0.3.6 <pip> | |
Delorean 1.0.0 <pip> | |
descartes 1.1.0 <pip> | |
dill 0.2.7.1 py36_0 conda-forge | |
dipy 0.13.0 <pip> | |
distributed 1.19.1 py36h25f3894_0 | |
docopt 0.6.2 <pip> | |
docutils 0.14 py36hb0f60f5_0 | |
dora 0.1 <pip> | |
ecos 2.0.4 py36_0 | |
edward 1.3.5 <pip> | |
eli5 0.8 <pip> | |
emoji 0.5.0 <pip> | |
en-core-web-lg 2.0.0 <pip> | |
en-core-web-sm 2.0.0 <pip> | |
entrypoints 0.2.3 py36h1aec115_2 | |
et_xmlfile 1.0.1 py36hd6bccc3_0 | |
ethnicolr 0.1.5 <pip> | |
expat 2.2.4 hc00ebd1_1 | |
fancyimpute 0.3.1 <pip> | |
fastai 0.6 <pip> | |
fastcache 1.0.2 py36h5b0c431_0 | |
fastFM 0.2.11 <pip> | |
fasttext 0.8.22 <pip> | |
fbpca 1.0 <pip> | |
fbprophet 0.2.1 py36_0 conda-forge | |
filelock 2.0.12 py36hacfa1f5_0 | |
Fiona 1.7.11.post1 <pip> | |
fitter 1.0.8 <pip> | |
flake8 3.5.0 <pip> | |
flashtext 2.7 <pip> | |
flask 0.12.2 py36hb24657c_0 | |
flask-cors 3.0.3 py36h2d857d3_0 | |
folium 0.5.0 <pip> | |
fontconfig 2.12.4 h88586e7_1 | |
freetype 2.8 h52ed37b_0 | |
ftfy 4.4.3 <pip> | |
funcy 1.10.1 <pip> | |
future 0.16.0 <pip> | |
fuzzywuzzy 0.16.0 <pip> | |
gast 0.2.0 <pip> | |
gensim 3.4.0 <pip> | |
Geohash 1.0 <pip> | |
geojson 2.3.0 <pip> | |
geopandas 0.3.0 <pip> | |
geoplot 0.1.2 <pip> | |
geopy 1.12.0 <pip> | |
geos 3.6.2 1 conda-forge | |
geoviews 1.4.3 py_0 conda-forge | |
get_terminal_size 1.0.0 haa9412d_0 | |
gevent 1.2.2 py36h2fe25dc_0 | |
ggplot 0.11.5 <pip> | |
glib 2.53.6 hc861d11_1 | |
glmnet-py 0.1.0b2 <pip> | |
glob2 0.5 py36h2c1b292_1 | |
gmp 6.1.2 hb3b607b_0 | |
gmpy2 2.0.8 py36h55090d7_1 | |
google-api-core 1.1.0 <pip> | |
google-api-python-client 1.6.6 <pip> | |
google-auth 1.4.1 <pip> | |
google-cloud-bigquery 0.31.0 <pip> | |
google-cloud-core 0.28.1 <pip> | |
google-resumable-media 0.3.1 <pip> | |
googleapis-common-protos 1.5.3 <pip> | |
gplearn 0.3.0 <pip> | |
gpxpy 1.2.0 <pip> | |
graphite2 1.3.10 hc526e54_0 | |
graphviz 0.8.1 <pip> | |
greenlet 0.4.12 py36h2d503a6_0 | |
grpcio 1.10.0 <pip> | |
gst-plugins-base 1.12.2 he3457e5_0 | |
gstreamer 1.12.2 h4f93127_0 | |
h2o 3.18.0.5 <pip> | |
h5py 2.7.1 py36h3585f63_0 | |
hallucinate 0.0.1 <pip> | |
harfbuzz 1.5.0 h2545bd6_0 | |
haversine 0.4.5 <pip> | |
hdf5 1.10.1 hb0523eb_0 | |
heamy 0.0.7 <pip> | |
heapdict 1.0.0 py36h79797d7_0 | |
hep-ml 0.5.0 <pip> | |
hmmlearn 0.2.0 <pip> | |
holoviews 1.9.5 py36_0 conda-forge | |
hpsklearn 0.1.0 <pip> | |
html5lib 0.9999999 <pip> | |
html5lib 0.999999999 py36h2cfc398_0 | |
httplib2 0.11.3 <pip> | |
humanize 0.5.1 <pip> | |
hunspell 0.5.4 <pip> | |
husl 4.0.3 <pip> | |
hyperopt 0.1 <pip> | |
hypertools 0.4.2 <pip> | |
ibis-framework 0.13.0 <pip> | |
icu 58.2 h211956c_0 | |
idna 2.6 py36h82fb2a8_1 | |
igraph 0.7.1 4 conda-forge | |
ijson 2.3 <pip> | |
ImageHash 4.0 <pip> | |
imageio 2.2.0 py36he555465_0 | |
imagesize 0.7.1 py36h52d8127_0 | |
imbalanced-learn 0.3.3 <pip> | |
imgaug 0.2.5 <pip> | |
implicit 0.3.3 <pip> | |
intel-openmp 2018.0.0 h15fc484_7 | |
ipykernel 4.6.1 py36hbf841aa_0 | |
ipython 6.1.0 py36hc72a948_1 | |
ipython_genutils 0.2.0 py36hb52b0d5_0 | |
ipywidgets 7.0.0 py36h7b55c3a_0 | |
iso3166 0.8 <pip> | |
isort 4.2.15 py36had401c0_0 | |
isoweek 1.3.3 <pip> | |
itsdangerous 0.24 py36h93cc618_1 | |
Janome 0.3.6 <pip> | |
jbig 2.1 hdba287a_0 | |
jdcal 1.3 py36h4c697fb_0 | |
jedi 0.10.2 py36h552def0_0 | |
jinja2 2.9.6 py36h489bce4_1 | |
jmespath 0.9.3 <pip> | |
joblib 0.11 <pip> | |
jpeg 9b habf39ab_1 | |
jsonpickle 0.9.6 <pip> | |
jsonschema 2.6.0 py36h006f8b5_0 | |
jupyter 1.0.0 py36h9896ce5_0 | |
jupyter 1.0.0 <pip> | |
jupyter-contrib-core 0.3.3 <pip> | |
jupyter-contrib-nbextensions 0.5.0 <pip> | |
jupyter-highlight-selected-word 0.1.1 <pip> | |
jupyter-latex-envs 1.4.4 <pip> | |
jupyter-nbextensions-configurator 0.4.0 <pip> | |
jupyter_client 5.1.0 py36h614e9ea_0 | |
jupyter_console 5.2.0 py36he59e554_1 | |
jupyter_core 4.3.0 py36h357a921_0 | |
jupyterlab 0.27.0 py36h86377d0_2 | |
jupyterlab_launcher 0.4.0 py36h4d8058d_0 | |
kaggle-cli 0.12.13 <pip> | |
keras-rcnn 0.0.2 <pip> | |
keras-resnet 0.1.0 <pip> | |
keras-rl 0.4.0 <pip> | |
kmeans-smote 0.1.0 <pip> | |
kmodes 0.8 <pip> | |
knnimpute 0.1.0 <pip> | |
ktext 0.31 <pip> | |
langdetect 1.0.7 <pip> | |
langid 1.1.6 <pip> | |
Lasagne 0.2.dev1 <pip> | |
lazy-object-proxy 1.3.1 py36h10fcdad_0 | |
learntools 0.1 <pip> | |
leven 1.0.4 <pip> | |
libedit 3.1 heed3624_0 | |
libffi 3.2.1 h4deb6c0_3 | |
libgcc 7.2.0 h69d50b8_2 | |
libgcc-ng 7.2.0 h7cc24e2_2 | |
libgfortran-ng 7.2.0 h9f7466a_2 | |
libpng 1.6.32 hda9c8bc_2 | |
librosa 0.6.0 <pip> | |
libsodium 1.0.13 h31c71d8_2 | |
libssh2 1.8.0 h8c220ad_2 | |
libstdcxx-ng 7.2.0 h7a57d05_2 | |
libtiff 4.0.8 h90200ff_9 | |
libtool 2.4.6 hd50d1a6_0 | |
libxcb 1.12 h84ff03f_3 | |
libxml2 2.9.4 h6b072ca_5 | |
libxslt 1.1.29 hcf9102b_5 | |
lightfm 1.14 <pip> | |
lightgbm 2.1.0 <pip> | |
lime 0.1.1.29 <pip> | |
line-profiler 2.1.2 <pip> | |
llvmlite 0.22.0 py36ha27ea49_0 | |
lml 0.0.1 <pip> | |
locket 0.2.0 py36h787c0ad_1 | |
lxml 4.0.0 <pip> | |
lxml 4.1.0 py36h5b66e50_0 | |
lzo 2.10 h1bfc0ba_1 | |
marisa-trie 0.7.4 <pip> | |
Markdown 2.6.11 <pip> | |
markovify 0.7.1 <pip> | |
markupsafe 1.0 py36hd9260cd_1 | |
matplotlib 2.1.0 py36hba5de38_0 | |
matplotlib-venn 0.11.5 <pip> | |
mccabe 0.6.1 py36h5ad9710_1 | |
MechanicalSoup 0.8.0 <pip> | |
memory-profiler 0.52.0 <pip> | |
missingno 0.4.0 <pip> | |
mistune 0.7.4 py36hbab8784_0 | |
mizani 0.4.6 <pip> | |
mkl 2018.0.2 1 | |
mkl-service 1.1.2 py36h17a0993_4 | |
mkl_fft 1.0.1 py36h3010b51_0 | |
mkl_random 1.0.1 py36h629b387_0 | |
ml-metrics 0.1.4 <pip> | |
mlcrate 0.1.0 <pip> | |
mlens 0.2.2 <pip> | |
mlxtend 0.12.0.dev0 <pip> | |
mmh3 2.5.1 <pip> | |
mne 0.15.2 <pip> | |
more-itertools 4.1.0 <pip> | |
mpc 1.0.3 hf803216_4 | |
mpfr 3.1.5 h12ff648_1 | |
mpld3 0.3 <pip> | |
mplleaflet 0.0.5 <pip> | |
mpmath 0.19 py36h8cc018b_2 | |
msgpack 0.5.6 <pip> | |
msgpack-numpy 0.4.1 py_0 conda-forge | |
msgpack-python 0.4.8 py36hec4c5d1_0 | |
multipledispatch 0.4.9 py36h41da3fb_0 | |
multiprocess 0.70.5 <pip> | |
munch 2.2.0 <pip> | |
murmurhash 0.28.0 py36_0 conda-forge | |
mxnet 1.1.0 <pip> | |
navigator-updater 0.1.0 py36h14770f7_0 | |
nbconvert 5.3.1 py36hb41ffb7_0 | |
nbformat 4.4.0 py36h31c9010_0 | |
ncurses 6.0 h06874d7_1 | |
networkx 2.0 py36h7e96fb8_0 | |
nibabel 2.2.1 <pip> | |
nilearn 0.4.1 <pip> | |
nltk 3.2.4 py36h1a0979f_0 | |
nolearn 0.6.1.dev0 <pip> | |
nose 1.3.7 py36hcdf7029_2 | |
notebook 5.0.0 py36h0b20546_2 | |
numba 0.37.0 np114py36h5fcf951_0 | |
numdifftools 0.9.20 <pip> | |
numexpr 2.6.2 py36hdd3393f_1 | |
numpy 1.14.2 py36hdbf6ddf_1 | |
numpy 1.13.3 <pip> | |
numpydoc 0.7.0 py36h18f165f_0 | |
oauth2client 4.1.2 <pip> | |
odfpy 1.3.6 <pip> | |
odo 0.5.1 py36h90ed295_0 | |
olefile 0.44 py36h79f9f78_0 | |
opencv-python 3.4.0.12 <pip> | |
openpyxl 2.4.8 py36h41dd2a8_1 | |
openssl 1.0.2n 0 conda-forge | |
orderedmultidict 0.7.11 <pip> | |
ortools 6.7.4973 <pip> | |
owslib 0.16.0 py_0 conda-forge | |
packaging 16.8 py36ha668100_1 | |
palettable 3.1.0 <pip> | |
pandas 0.22.0 <pip> | |
pandas 0.20.3 py36h842e28d_2 | |
pandas-datareader 0.6.0 <pip> | |
pandas-profiling 1.4.1 <pip> | |
pandas-summary 0.0.41 <pip> | |
pandoc 1.0.2 <pip> | |
pandoc 1.19.2.1 hea2e7c5_1 | |
pandocfilters 1.4.2 py36ha6701b7_1 | |
pango 1.40.11 h8191d47_0 | |
param 1.5.1 py36_0 | |
paramnb 2.0.2 <pip> | |
partd 0.3.8 py36h36fd896_0 | |
patchelf 0.9 hf79760b_2 | |
path.py 10.3.1 py36he0c6f6d_0 | |
pathlib 1.0.1 <pip> | |
pathlib2 2.3.0 py36h49efa8e_0 | |
pathos 0.2.1 <pip> | |
patsy 0.4.1 py36ha3be15e_0 | |
pbr 4.0.1 <pip> | |
pcre 8.41 hc71a17e_0 | |
pep8 1.7.0 py36h26ade29_0 | |
pexpect 4.2.1 py36h3b9d41b_0 | |
pickleshare 0.7.4 py36h63277f8_0 | |
pillow 4.2.1 py36h9119f52_0 | |
pip 9.0.1 py36h8ec8b28_3 | |
pixman 0.34.0 h83dc358_2 | |
pkginfo 1.4.1 py36h215d178_1 | |
plac 0.9.6 py36_0 conda-forge | |
plotly 2.5.1 <pip> | |
plotnine 0.3.0 <pip> | |
ply 3.10 py36hed35086_0 | |
polyglot 16.7.4 <pip> | |
posix-ipc 1.0.4 <pip> | |
pox 0.2.3 <pip> | |
ppca 0.0.3 <pip> | |
ppft 1.6.4.7.1 <pip> | |
preprocessing 0.1.13 <pip> | |
preshed 1.0.0 py36_0 conda-forge | |
progressbar2 3.36.0 <pip> | |
progressbar2 3.34.3 <pip> | |
proj4 4.9.3 hc8507d1_7 | |
prompt_toolkit 1.0.15 py36h17d85b1_0 | |
pronouncing 0.1.5 <pip> | |
protobuf 3.5.2.post1 <pip> | |
psutil 5.4.0 py36h84c53db_0 | |
ptyprocess 0.5.2 py36h69acd42_0 | |
pudb 2017.1.4 <pip> | |
py 1.4.34 py36h0712aa3_1 | |
py-cpuinfo 4.0.0 <pip> | |
py-lz4framed 0.11.0 <pip> | |
py-stringmatching 0.4.0 <pip> | |
py-stringsimjoin 0.3.0 <pip> | |
pyahocorasick 1.1.7 <pip> | |
pyarrow 0.9.0 <pip> | |
pyasn1 0.4.2 <pip> | |
pyasn1-modules 0.2.1 <pip> | |
PyAstronomy 0.12.0 <pip> | |
pybind11 2.2.2 <pip> | |
PyBrain 0.3.3 <pip> | |
pycairo 1.16.3 py36_0 conda-forge | |
pycodestyle 2.3.1 py36hf609f19_0 | |
pycosat 0.6.3 py36h0a5515d_0 | |
pycountry 18.2.23 <pip> | |
pycparser 2.18 py36hf9f622e_1 | |
pycrypto 2.6.1 py36h6998063_1 | |
pycurl 7.43.0 py36h5e72054_3 | |
pydash 4.5.0 <pip> | |
pydicom 1.0.2 <pip> | |
pyemd 0.5.1 <pip> | |
pyepsg 0.3.2 py36_0 conda-forge | |
pyexcel-io 0.5.6 <pip> | |
pyexcel-ods 0.5.2 <pip> | |
pyfasttext 0.4.4 <pip> | |
pyflakes 1.6.0 py36h7bd6a15_0 | |
pyflux 0.4.15 <pip> | |
pygments 2.2.0 py36h0d3125c_0 | |
pykoko 0.1.8 <pip> | |
pyLDAvis 2.1.1 <pip> | |
pylint 1.7.4 py36hb9d4533_0 | |
pymc3 3.3 <pip> | |
pymongo 3.6.1 <pip> | |
pyodbc 4.0.17 py36h999153c_0 | |
PyOpenGL 3.1.0 <pip> | |
pyopenssl 17.2.0 py36h5cc804b_0 | |
pypandoc 1.4 <pip> | |
pyparsing 2.2.0 py36hee85983_1 | |
Pyphen 0.9.4 <pip> | |
PyPrind 2.11.2 <pip> | |
pyproj 1.9.5.1 <pip> | |
pyproj 1.9.5.1 py36_0 conda-forge | |
pyqt 5.6.0 py36h0386399_5 | |
PySAL 1.14.3 <pip> | |
pyshp 1.2.12 <pip> | |
pyshp 1.2.12 py_0 conda-forge | |
pysocks 1.6.7 py36hd97a5b1_1 | |
pystan 2.17.1.0 <pip> | |
pystan 2.17.1.0 py36_0 conda-forge | |
pytables 3.4.2 py36h3b5282a_2 | |
pytagcloud 0.3.5 <pip> | |
pytest 3.2.1 py36h11ad3bb_1 | |
pytest-cov 2.5.1 <pip> | |
pytest-mock 1.7.1 <pip> | |
python 3.6.4 hc3d631a_3 | |
python-dateutil 2.6.1 py36h88d3b88_1 | |
python-dateutil 2.6.0 <pip> | |
python-igraph 0.7.1.post6 py36_4 conda-forge | |
python-Levenshtein 0.12.0 <pip> | |
python-louvain 0.10 <pip> | |
python-utils 2.3.0 <pip> | |
pytorch 0.3.1 py36_cuda8.0.61_cudnn7.0.5_2 pytorch | |
pytz 2017.2 py36hc2ccc2a_1 | |
pytz 2018.3 <pip> | |
PyUpSet 0.1.1.post7 <pip> | |
pywavelets 0.5.2 py36he602eb0_0 | |
pyyaml 3.12 py36hafb9ca4_1 | |
pyzmq 16.0.2 py36h3b0cf96_2 | |
qt 5.6.2 h974d657_12 | |
qtawesome 0.4.4 py36h609ed8c_0 | |
qtconsole 4.3.1 py36h8f73b5b_0 | |
qtpy 1.3.1 py36h3691cc8_0 | |
raccoon 2.1.5 <pip> | |
readline 7.0 hac23ff0_3 | |
regex 2017.4.5 <pip> | |
regex 2017.11.09 py36_0 conda-forge | |
requests 2.18.4 py36he2e5f8d_1 | |
requests-file 1.4.3 <pip> | |
requests-ftp 0.3.1 <pip> | |
resampy 0.2.0 <pip> | |
revrand 0.6.5 <pip> | |
rf-perm-feat-import 0.1 <pip> | |
rope 0.10.5 py36h1f8c17e_0 | |
rsa 3.4.2 <pip> | |
ruamel_yaml 0.11.14 py36ha2fb22d_2 | |
s2sphere 0.2.5 <pip> | |
s3transfer 0.1.13 <pip> | |
sacred 0.7.2 <pip> | |
scattertext 0.0.2.23 <pip> | |
scikit-image 0.13.0 py36had3c07a_1 | |
scikit-learn 0.19.1 <pip> | |
scikit-learn 0.19.1 py36h7aa7ec6_0 | |
scikit-multilearn 0.0.5 <pip> | |
scikit-optimize 0.5.2 <pip> | |
scikit-plot 0.3.4 <pip> | |
scikit-surprise 1.0.5 <pip> | |
scipy 1.0.1 <pip> | |
scipy 0.19.1 py36h9976243_3 | |
scs 2.0.2 <pip> | |
seaborn 0.8.0 py36h197244f_0 | |
seaborn 0.8.1 <pip> | |
sentencepiece 0.0.4 <pip> | |
setuptools 36.5.0 py36he42e2e1_0 | |
setuptools 39.0.1 <pip> | |
Shapely 1.6.4.post1 <pip> | |
shapely 1.6.4 py36_0 conda-forge | |
simplegeneric 0.8.1 py36h2cb9092_0 | |
SimpleITK 1.1.0 <pip> | |
singledispatch 3.4.0.3 py36h7a266c3_0 | |
sip 4.18.1 py36h51ed4ed_2 | |
six 1.11.0 py36h372c433_1 | |
sklearn 0.0 <pip> | |
sklearn-contrib-lightning 0.5.0 <pip> | |
sklearn-contrib-py-earth 0.1.0 <pip> | |
sklearn-pandas 1.6.0 <pip> | |
smart-open 1.5.7 <pip> | |
smhasher 0.150.1 <pip> | |
snowballstemmer 1.2.1 py36h6febd40_0 | |
sortedcollections 0.5.3 py36h3c761f9_0 | |
sortedcontainers 1.5.7 py36hdf89491_0 | |
spacy 2.0.11 py36_0 conda-forge | |
spectral 0.19 <pip> | |
speedml 0.9.3 <pip> | |
sphinx 1.6.3 py36he5f0bdb_0 | |
sphinx-rtd-theme 0.2.4 <pip> | |
sphinxcontrib 1.0 py36h6d0f590_1 | |
sphinxcontrib-websupport 1.0.1 py36hb5cb234_1 | |
spyder 3.2.4 py36hbe6152b_0 | |
sqlalchemy 1.1.13 py36hfb5efd7_0 | |
sqlite 3.22.0 h1bed415_0 | |
squarify 0.3.0 <pip> | |
statsmodels 0.8.0 py36h8533d0b_0 | |
stemming 1.0.1 <pip> | |
stevedore 1.28.0 <pip> | |
stop-words 2015.2.23.1 <pip> | |
stopit 1.1.2 <pip> | |
sympy 1.1.1 py36hc6d1c1c_0 | |
tblib 1.3.2 py36h34cf8b6_0 | |
tensorboard 1.7.0 <pip> | |
tensorflow 1.7.0 <pip> | |
tensorpack 0.8.5 <pip> | |
termcolor 1.1.0 py36_1 conda-forge | |
terminado 0.6 py36ha25a19f_0 | |
terminalplot 0.2.6 <pip> | |
testpath 0.3.1 py36h8cadb63_0 | |
textacy 0.6.0 <pip> | |
textblob 0.15.1 <pip> | |
tflearn 0.3.2 <pip> | |
Theano 1.0.1 <pip> | |
thinc 6.10.2 py36_0 conda-forge | |
tifffile 0.14.0 <pip> | |
tk 8.6.7 h5979e9b_1 | |
toolz 0.8.2 py36h81f2dff_0 | |
torchaudio 0.1 <pip> | |
torchtext 0.2.1 <pip> | |
torchvision 0.2.0 py36h17b6947_1 pytorch | |
tornado 4.5.2 py36h1283b2a_0 | |
TPOT 0.9.2 <pip> | |
tqdm 4.20.0 py_0 conda-forge | |
traitlets 4.3.2 py36h674d592_0 | |
trueskill 0.4.4 <pip> | |
typing 3.6.2 py36h7da032a_0 | |
tzlocal 1.5.1 <pip> | |
ujson 1.35 py36_0 conda-forge | |
unicodecsv 0.14.1 py36ha668878_0 | |
Unidecode 1.0.22 <pip> | |
unixodbc 2.3.4 hc36303a_1 | |
update-checker 0.16 <pip> | |
uritemplate 3.0.0 <pip> | |
urllib3 1.22 py36hbe7ace6_0 | |
urwid 2.0.1 <pip> | |
vecstack 0.2.2 <pip> | |
vega 0.4.4 <pip> | |
vida 0.3 <pip> | |
visvis 1.10.0 <pip> | |
vtk 8.1.0 <pip> | |
wavio 0.0.3 <pip> | |
wcwidth 0.1.7 py36hdf4376a_0 | |
webencodings 0.5.1 py36h800622e_1 | |
werkzeug 0.12.2 py36hc703753_0 | |
wfdb 2.0.2 <pip> | |
wheel 0.29.0 py36he7f4e38_1 | |
widgetsnbextension 3.0.2 py36hd01bb71_1 | |
Wordbatch 1.3.0 <pip> | |
wordcloud 1.4.1 <pip> | |
wordsegment 1.2.0 <pip> | |
wrapt 1.10.11 py36h28b7045_0 | |
xarray 0.10.2 py36_0 | |
xgboost 0.7 <pip> | |
xlrd 1.1.0 py36h1db9f0c_1 | |
xlsxwriter 1.0.2 py36h3de1aca_0 | |
xlwt 1.3.0 py36h7b00a1f_0 | |
xz 5.2.3 h2bcbf08_1 | |
yaml 0.1.7 h96e3832_1 | |
yellowbrick 0.6 <pip> | |
zeromq 4.2.2 hb0b69da_1 | |
zict 0.1.3 py36h3a3bf81_0 | |
zlib 1.2.11 hfbfcf68_1 |
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