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environment.yml
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environment.yml
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name: UnifiedARConda
channels:
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=2_gnu
- asttokens=2.0.5=pyhd8ed1ab_0
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
- bzip2=1.0.8=h7f98852_4
- ca-certificates=2022.6.15=ha878542_0
- certifi=2022.6.15=py38h578d9bd_0
- debugpy=1.6.0=py38hfa26641_0
- decorator=5.1.1=pyhd8ed1ab_0
- entrypoints=0.4=pyhd8ed1ab_0
- executing=0.10.0=pyhd8ed1ab_0
- ipykernel=6.15.1=pyh210e3f2_0
- ipython=8.4.0=py38h578d9bd_0
- jedi=0.18.1=pyhd8ed1ab_2
- jupyter_client=7.3.4=pyhd8ed1ab_0
- jupyter_core=4.11.1=py38h578d9bd_0
- ld_impl_linux-64=2.36.1=hea4e1c9_2
- libffi=3.4.2=h7f98852_5
- libgcc-ng=12.1.0=h8d9b700_16
- libgomp=12.1.0=h8d9b700_16
- libnsl=2.0.0=h7f98852_0
- libsodium=1.0.18=h36c2ea0_1
- libsqlite=3.39.2=h753d276_1
- libstdcxx-ng=12.1.0=ha89aaad_16
- libuuid=2.32.1=h7f98852_1000
- libzlib=1.2.12=h166bdaf_2
- matplotlib-inline=0.1.3=pyhd8ed1ab_0
- ncurses=6.3=h27087fc_1
- nest-asyncio=1.5.5=pyhd8ed1ab_0
- openssl=3.0.5=h166bdaf_1
- packaging=21.3=pyhd8ed1ab_0
- parso=0.8.3=pyhd8ed1ab_0
- pexpect=4.8.0=pyh9f0ad1d_2
- pickleshare=0.7.5=py_1003
- pip=22.2.2=pyhd8ed1ab_0
- prompt-toolkit=3.0.30=pyha770c72_0
- psutil=5.9.1=py38h0a891b7_0
- ptyprocess=0.7.0=pyhd3deb0d_0
- pure_eval=0.2.2=pyhd8ed1ab_0
- pygments=2.12.0=pyhd8ed1ab_0
- pyparsing=3.0.9=pyhd8ed1ab_0
- python=3.8.13=ha86cf86_0_cpython
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python_abi=3.8=2_cp38
- pyzmq=23.2.1=py38hfc09fa9_0
- readline=8.1.2=h0f457ee_0
- setuptools=64.0.3=py38h578d9bd_0
- sqlite=3.39.2=h4ff8645_1
- stack_data=0.4.0=pyhd8ed1ab_0
- tk=8.6.12=h27826a3_0
- tornado=6.2=py38h0a891b7_0
- traitlets=5.3.0=pyhd8ed1ab_0
- wcwidth=0.2.5=pyh9f0ad1d_2
- wheel=0.37.1=pyhd8ed1ab_0
- xz=5.2.6=h166bdaf_0
- zeromq=4.3.4=h9c3ff4c_1
- pip:
- absl-py==0.15.0
- cachetools==5.2.0
- gast==0.3.3
- google-auth==2.10.0
- google-auth-oauthlib==0.4.6
- grpcio==1.32.0
- h5py==2.10.0
- keras==2.9.0
- markdown==3.4.1
- numpy==1.19.5
- oauthlib==3.2.0
- pandas==1.4.3
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- requests-oauthlib==1.3.1
- rsa==4.9
- scikit-learn==1.1.2
- six==1.15.0
- tenacity==8.0.1
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.8.1
- tensorflow==2.4.0
- tensorflow-estimator==2.4.0
- typing-extensions==3.7.4.3
- werkzeug==2.2.2
- wrapt==1.12.1
prefix: /raid/home/labusermodaresi/environments/ictai/UnifiedAR/.conda