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face.yaml 8.59 KB
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showkeyjar 提交于 2020-04-04 16:52 . use multi-threads tpot gen model
name: face
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/peterjc123
- pytorch
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/peterjc123/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- defaults
dependencies:
- _py-xgboost-mutex=2.0=cpu_0
- _tflow_select=2.1.0=gpu
- absl-py=0.9.0=py36h9f0ad1d_1
- astor=0.7.1=py_0
- astroid=2.3.3=py36_1
- astropy=4.0=py36h68a101e_2
- backcall=0.1.0=py_0
- blas=1.0=mkl
- bleach=3.1.4=pyh9f0ad1d_0
- blinker=1.4=py_1
- bokeh=2.0.1=py36h9f0ad1d_0
- ca-certificates=2019.11.28=hecc5488_0
- cachetools=3.1.1=py_0
- certifi=2019.11.28=py36h9f0ad1d_1
- cffi=1.14.0=py36ha419a9e_0
- chardet=3.0.4=py36h9f0ad1d_1006
- cloudpickle=1.3.0=py_0
- cmake=3.14.5=he025d50_0
- confuse=1.0.0=py_0
- cryptography=2.8=py36hb32ad35_1
- cudatoolkit=10.1.243=h74a9793_0
- cudnn=7.6.5=cuda10.1_0
- cycler=0.10.0=py_2
- cytoolz=0.10.1=py36hfa6e2cd_0
- dask=2.13.0=py_0
- dask-core=2.13.0=py_0
- dask-glm=0.2.0=py_1
- dask-ml=1.2.0=py_0
- deap=1.3.1=py36h5076640_1
- decorator=4.4.2=py_0
- defusedxml=0.6.0=py_0
- dill=0.3.1.1=py36h9f0ad1d_1
- distributed=2.13.0=py36h9f0ad1d_0
- entrypoints=0.3=py36h9f0ad1d_1001
- freetype=2.10.1=ha9979f8_0
- fsspec=0.7.1=py_0
- gast=0.2.2=py_0
- google-auth=1.12.0=pyh9f0ad1d_0
- google-auth-oauthlib=0.4.1=py_2
- google-pasta=0.2.0=pyh8c360ce_0
- grpcio=1.27.2=py36h351948d_0
- h5py=2.10.0=nompi_py36h422b98e_102
- hdf5=1.10.5=nompi_ha405e13_1104
- heapdict=1.0.1=py_0
- htmlmin=0.1.12=py_1
- icc_rt=2019.0.0=h0cc432a_1
- icu=64.2=he025d50_1
- importlib_metadata=1.6.0=0
- intel-openmp=2019.4=245
- ipython_genutils=0.2.0=py_1
- ipywidgets=7.5.1=py_0
- isort=4.3.21=py36h9f0ad1d_1
- jpeg=9c=hfa6e2cd_1001
- json5=0.9.0=py_0
- jsonschema=3.2.0=py36h9f0ad1d_1
- jupyter=1.0.0=py_2
- jupyter_client=6.1.2=py_0
- jupyter_console=6.1.0=py_1
- jupyter_core=4.6.3=py36h9f0ad1d_1
- jupyterlab=1.1.4=py_0
- jupyterlab_server=1.0.7=py_0
- keras-applications=1.0.8=py_1
- keras-preprocessing=1.1.0=py_0
- kiwisolver=1.1.0=py36h246c5b5_1
- lazy-object-proxy=1.4.3=py36h68a101e_2
- libblas=3.8.0=14_mkl
- libcblas=3.8.0=14_mkl
- liblapack=3.8.0=14_mkl
- liblapacke=3.8.0=14_mkl
- libpng=1.6.37=hfe6a214_1
- libprotobuf=3.11.4=h1a1b453_0
- libsodium=1.0.17=h2fa13f4_0
- libtiff=4.1.0=h885aae3_6
- libwebp=1.0.2=hfa6e2cd_5
- libxgboost=0.90=0
- llvmlite=0.31.0=py36h9f0ad1d_1
- locket=0.2.0=py_2
- lz4-c=1.8.3=he025d50_1001
- 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=3.2.1=py_0
- markupsafe=1.1.1=py36h68a101e_1
- matplotlib=3.1.1=py36_1
- matplotlib-base=3.1.1=py36h2852a4a_1
- mccabe=0.6.1=py_1
- missingno=0.4.2=py_1
- mistune=0.8.4=py36hfa6e2cd_1000
- mkl=2019.4=245
- mkl-service=2.3.0=py36hfa6e2cd_0
- more-itertools=8.2.0=py_0
- msgpack-python=1.0.0=py36h246c5b5_1
- msys2-conda-epoch=20160418=1
- multipledispatch=0.6.0=py_0
- ninja=1.10.0=h1ad3211_0
- nodejs=13.10.1=0
- notebook=6.0.3=py36_0
- numba=0.48.0=py36he350917_0
- numpy=1.18.1=py36h48dd78f_1
- oauthlib=3.0.1=py_0
- olefile=0.46=py_0
- opencv=4.1.1=py36h6afde12_1
- openssl=1.1.1f=hfa6e2cd_0
- opt_einsum=3.2.0=py_0
- pandas-profiling=2.3.0=py_0
- pandoc=2.9.2=0
- parso=0.6.2=py_0
- partd=1.1.0=py_0
- patsy=0.5.1=py_0
- phik=0.9.10=py_0
- pickleshare=0.7.5=py36h9f0ad1d_1001
- pip=20.0.2=py_2
- pluggy=0.12.0=py_0
- prometheus_client=0.7.1=py_0
- prompt_toolkit=3.0.5=0
- psutil=5.7.0=py36h68a101e_1
- py=1.8.1=py_0
- py-xgboost=0.90=py36_0
- pyasn1=0.4.8=py_0
- pyasn1-modules=0.2.7=py_0
- pygments=2.6.1=py_0
- pyjwt=1.7.1=py_0
- pylint=2.4.4=py36_0
- pyopenssl=19.1.0=py_1
- pyparsing=2.4.6=py_0
- pyqt=5.9.2=py36h6538335_4
- pyreadline=2.1=py36_1001
- pyrsistent=0.16.0=py36h68a101e_0
- pysocks=1.7.1=py36h9f0ad1d_1
- pytest-pylint=0.14.1=py_0
- pytest-runner=5.2=py_0
- python=3.6.7=he025d50_1005
- python-dateutil=2.8.1=py_0
- python_abi=3.6=1_cp36m
- pytorch=1.4.0=py3.6_cuda101_cudnn7_0
- pytz=2019.3=py_0
- pywin32=227=py36hfa6e2cd_0
- pywinpty=0.5.7=py36_0
- pyyaml=5.3.1=py36h68a101e_0
- qt=5.9.7=h506e8af_3
- qtconsole=4.7.2=pyh9f0ad1d_0
- qtpy=1.9.0=py_0
- requests=2.23.0=pyh8c360ce_2
- requests-oauthlib=1.2.0=py_0
- rsa=4.0=py_0
- seaborn=0.10.0=py_1
- send2trash=1.5.0=py_0
- setuptools=46.1.3=py36h9f0ad1d_0
- sip=4.19.8=py36h6538335_1000
- six=1.14.0=py_1
- sortedcontainers=2.1.0=py_0
- sqlite=3.30.1=hfa6e2cd_0
- statsmodels=0.11.1=py36h68a101e_1
- stopit=1.1.2=py_0
- tblib=1.6.0=py_0
- tensorboard=2.1.0=py3_0
- tensorflow=2.1.0=gpu_py36h3346743_0
- tensorflow-base=2.1.0=gpu_py36h55f5790_0
- tensorflow-estimator=2.1.0=pyhd54b08b_0
- tensorflow-gpu=2.1.0=h0d30ee6_0
- termcolor=1.1.0=py_2
- terminado=0.8.3=py36h9f0ad1d_1
- testpath=0.4.4=py_0
- tk=8.6.10=hfa6e2cd_0
- toolz=0.10.0=py_0
- torchvision=0.5.0=py36_cu101
- tornado=6.0.4=py36hfa6e2cd_0
- tpot=0.10.2=py36_0
- typed-ast=1.4.1=py36hfa6e2cd_0
- typing_extensions=3.7.4.1=py36h9f0ad1d_3
- update_checker=0.16=py_0
- vc=14.1=h21ff451_1
- vs2015_runtime=14.16.27012=hf0eaf9b_1
- vs2017_runtime=15.4.27004.2010=1
- wheel=0.34.2=py_1
- widgetsnbextension=3.5.1=py36_0
- win_inet_pton=1.1.0=py36_0
- wincertstore=0.2=py36_1003
- winpty=0.4.3=4
- wrapt=1.12.1=py36h68a101e_1
- xlrd=1.2.0=py_0
- xz=5.2.4=h2fa13f4_1002
- yaml=0.2.2=hfa6e2cd_1
- zeromq=4.3.2=h6538335_2
- zict=2.0.0=py_0
- zlib=1.2.11=h2fa13f4_1006
- zstd=1.4.4=hd8a0e53_2
- pip:
- atm==0.2.2
- atomicwrites==1.3.0
- attrs==19.1.0
- autokeras==1.0.2
- automl-gs==0.2.1
- autopep8==1.5
- baytune==0.2.5
- boto3==1.10.2
- botocore==1.13.2
- cirq==0.7.0
- click==7.0
- colorama==0.4.1
- contextlib2==0.5.5
- coverage==5.0.4
- dash==0.39.0
- dash-core-components==0.44.0
- dash-cytoscape==0.1.1
- dash-html-components==0.14.0
- dash-renderer==0.20.0
- dash-table==3.6.0
- dash-table-experiments==0.6.0
- dataclasses==0.7
- deepgaze==0.1
- dlib==19.17.0
- docutils==0.14
- flask==1.1.1
- flask-compress==1.4.0
- flask-restless==0.17.0
- flask-restless-swagger-2==0.0.3
- flask-sqlalchemy==2.4.1
- future==0.17.1
- gevent==1.4.0
- google-api-core==1.16.0
- google-api-python-client==1.8.0
- google-auth-httplib2==0.0.3
- googleapis-common-protos==1.51.0
- greenlet==0.4.15
- httplib2==0.17.1
- hyperopt==0.1.2
- idna==2.8
- imageio==2.5.0
- importlib-metadata==0.19
- interpret==0.1.13
- ipykernel==5.1.1
- ipython==7.7.0
- ipython-genutils==0.2.0
- itsdangerous==1.1.0
- jedi==0.14.1
- jinja2==2.10.1
- jmespath==0.9.4
- joblib==0.13.2
- json-tricks==3.14.0
- jupyter-client==5.3.1
- jupyter-core==4.5.0
- keras-tuner==1.0.1
- lime==0.1.1.36
- lockfile==0.12.2
- mimerender==0.6.0
- mlfeatureselection==0.0.9.5.1
- mpmath==1.1.0
- nbconvert==5.5.0
- nbformat==4.4.0
- networkx==2.3
- nni==1.4
- packaging==19.1
- pandas==0.24.2
- pandocfilters==1.4.2
- pillow==6.1.0
- plotly==4.0.0
- prompt-toolkit==2.0.9
- protobuf==3.8.0
- pycodestyle==2.5.0
- pycparser==2.19
- pymongo==3.10.1
- pymysql==0.9.3
- pytest==5.0.1
- python-daemon==2.2.3
- python-mimeparse==1.6.0
- pythonwebhdfs==0.2.3
- pywavelets==1.0.3
- pyzmq==18.0.2
- requires==0.0.3
- retrying==1.3.3
- ruamel-yaml==0.16.10
- ruamel-yaml-clib==0.2.0
- s3transfer==0.2.1
- salib==1.3.7
- schema==0.7.1
- scikit-image==0.15.0
- scikit-learn==0.21.3
- scipy==1.3.0
- shap==0.29.3
- simplejson==3.16.0
- skope-rules==1.0.0
- sqlalchemy==1.3.10
- sympy==1.4
- tabulate==0.8.6
- tensorflow-quantum==0.2.0
- terminaltables==3.1.0
- tqdm==4.32.1
- traitlets==4.3.2
- typing-extensions==3.7.4.2
- uritemplate==3.0.1
- urllib3==1.25.3
- wcwidth==0.1.7
- webencodings==0.5.1
- werkzeug==0.15.5
- zipp==0.5.2
prefix: F:\Anaconda3\envs\face
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