Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub / hakimMzabi / dl-kaggle-dataset-analysis
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hakimMzabi%2Fdl-kaggle-dataset-analysis
Stars: 1
Forks: 1
Open Issues: 0
License: None
Language:
Repo Size: 640 MB
Dependencies:
122
Created: over 4 years ago
Updated: almost 3 years ago
Last pushed: over 4 years ago
Last synced: over 1 year ago
Files
Loading...
Readme
Loading...
Dependencies
requirements.txt
pypi
- absl-py =0.8.1=py37_0
- astor =0.8.0=py37_0
- attrs =19.3.0=py_0
- backcall =0.1.0=py37_0
- backports =1.0=py_2
- backports.weakref =1.0.post1=py_1
- blas =1.0=mkl
- bleach =3.1.0=py37_0
- ca-certificates =2019.11.27=0
- certifi =2019.11.28=py37_0
- colorama =0.4.3=py_0
- cycler =0.10.0=py37_0
- decorator =4.4.1=py_0
- defusedxml =0.6.0=py_0
- dl-kaggle-dataset-analysis =0.1=pypi_0
- entrypoints =0.3=py37_0
- freetype =2.9.1=ha9979f8_1
- gast =0.2.2=py37_0
- google-pasta =0.1.8=py_0
- graphviz =2.38=hfd603c8_2
- grpcio =1.16.1=py37h351948d_1
- h5py =2.9.0=py37h5e291fa_0
- hdf5 =1.10.4=h7ebc959_0
- icc_rt =2019.0.0=h0cc432a_1
- icu =58.2=ha66f8fd_1
- importlib_metadata =1.3.0=py37_0
- intel-openmp =2019.4=245
- ipykernel =5.1.3=py37h39e3cac_0
- ipython =7.11.1=py37h39e3cac_0
- ipython_genutils =0.2.0=py37_0
- ipywidgets =7.5.1=py_0
- jedi =0.15.2=py37_0
- jinja2 =2.10.3=py_0
- joblib =0.14.1=py_0
- jpeg =9b=hb83a4c4_2
- jsonschema =3.2.0=py37_0
- jupyter =1.0.0=py37_7
- jupyter_client =5.3.4=py37_0
- jupyter_console =6.0.0=py37_0
- jupyter_core =4.6.1=py37_0
- keras-applications =1.0.8=py_0
- keras-preprocessing =1.1.0=py_1
- kiwisolver =1.1.0=py37ha925a31_0
- libmklml =2019.0.5=0
- libpng =1.6.37=h2a8f88b_0
- libprotobuf =3.11.2=h7bd577a_0
- libsodium =1.0.16=h9d3ae62_0
- m2w64-gcc-libgfortran =5.3.0=6
- m2w64-gcc-libs =5.3.0=7
- m2w64-gcc-libs-core =5.3.0=7
- m2w64-gmp =6.1.0=2
- m2w64-libwinpthread-git =5.0.0.4634.697f757=2
- markdown =3.1.1=py37_0
- markupsafe =1.1.1=py37he774522_0
- matplotlib =3.1.1=py37hc8f65d3_0
- mistune =0.8.4=py37he774522_0
- mkl =2019.4=245
- mkl-service =2.3.0=py37hb782905_0
- mkl_fft =1.0.15=py37h14836fe_0
- mkl_random =1.1.0=py37h675688f_0
- mock =3.0.5=py37_0
- more-itertools =8.0.2=py_0
- msys2-conda-epoch =20160418=1
- nbconvert =5.6.1=py37_0
- nbformat =4.4.0=py37_0
- notebook =6.0.2=py37_0
- numpy =1.17.4=py37h4320e6b_0
- numpy-base =1.17.4=py37hc3f5095_0
- openssl =1.1.1d=he774522_3
- opt_einsum =3.1.0=py_0
- pandas =0.25.3=py37ha925a31_0
- pandoc =2.2.3.2=0
- pandocfilters =1.4.2=py37_1
- parso =0.5.2=py_0
- pickleshare =0.7.5=py37_0
- pip =19.3.1=py37_0
- prometheus_client =0.7.1=py_0
- prompt_toolkit =2.0.9=py37_0
- protobuf =3.11.2=py37h33f27b4_0
- pydot =1.4.1=py37_0
- pygments =2.5.2=py_0
- pyparsing =2.4.5=py_0
- pyqt =5.9.2=py37h6538335_2
- pyreadline =2.1=py37_1
- pyrsistent =0.15.6=py37he774522_0
- python =3.7.5=h8c8aaf0_0
- python-dateutil =2.8.1=py_0
- pytz =2019.3=py_0
- pywin32 =227=py37he774522_0
- pywinpty =0.5.7=py37_0
- pyzmq =18.1.0=py37ha925a31_0
- qt =5.9.7=vc14h73c81de_0
- qtconsole =4.6.0=py_1
- scikit-learn =0.22.1=py37h6288b17_0
- scipy =1.3.2=py37h29ff71c_0
- send2trash =1.5.0=py37_0
- setuptools =42.0.2=py37_0
- sip =4.19.8=py37h6538335_0
- six =1.13.0=py37_0
- sqlite =3.30.1=he774522_0
- tensorboard =2.0.0=pyhb38c66f_1
- tensorflow =2.0.0=mkl_py37he1bbcac_0
- tensorflow-base =2.0.0=mkl_py37hd1d5974_0
- tensorflow-estimator =2.0.0=pyh2649769_0
- termcolor =1.1.0=py37_1
- terminado =0.8.3=py37_0
- testpath =0.4.4=py_0
- tornado =6.0.3=py37he774522_0
- traitlets =4.3.3=py37_0
- vc =14.1=h0510ff6_4
- vs2015_runtime =14.16.27012=hf0eaf9b_1
- wcwidth =0.1.7=py37_0
- webencodings =0.5.1=py37_1
- werkzeug =0.16.0=py_0
- wheel =0.33.6=py37_0
- widgetsnbextension =3.5.1=py37_0
- wincertstore =0.2=py37_0
- winpty =0.4.3=4
- wrapt =1.11.2=py37he774522_0
- zeromq =4.3.1=h33f27b4_3
- zipp =0.6.0=py_0
- zlib =1.2.11=h62dcd97_3