DeepLearningExamples/DGLPyTorch/DrugDiscovery/RoseTTAFold/RoseTTAFold-linux-cu101.yml
2021-10-15 15:46:41 +02:00

108 lines
3.1 KiB
YAML

name: RoseTTAFold
channels:
- rusty1s
- pytorch
- nvidia
- conda-forge
- defaults
- bioconda
- biocore
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=4.5=1_gnu
- biopython=1.78=py38h497a2fe_2
- blas=1.0=mkl
- hhsuite
- blast-legacy=2.2.26=2
- brotlipy=0.7.0=py38h497a2fe_1001
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2021.7.5=h06a4308_1
- certifi=2021.5.30=py38h06a4308_0
- cffi=1.14.5=py38ha65f79e_0
- chardet=4.0.0=py38h578d9bd_1
- cryptography=3.4.7=py38ha5dfef3_0
- cudatoolkit=10.2.89=h8f6ccaa_8
- ffmpeg=4.3=hf484d3e_0
- freetype=2.10.4=h5ab3b9f_0
- gmp=6.2.1=h2531618_2
- gnutls=3.6.15=he1e5248_0
- googledrivedownloader=0.4=pyhd3deb0d_1
- idna=2.10=pyh9f0ad1d_0
- intel-openmp=2021.2.0=h06a4308_610
- jinja2=3.0.1=pyhd8ed1ab_0
- joblib=1.0.1=pyhd8ed1ab_0
- jpeg=9b=h024ee3a_2
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.35.1=h7274673_9
- libffi=3.3=he6710b0_2
- libgcc-ng=9.3.0=h5101ec6_17
- libgfortran-ng=7.5.0=h14aa051_19
- libgfortran4=7.5.0=h14aa051_19
- libgomp=9.3.0=h5101ec6_17
- libiconv=1.15=h63c8f33_5
- libidn2=2.3.1=h27cfd23_0
- libpng=1.6.37=hbc83047_0
- libstdcxx-ng=9.3.0=hd4cf53a_17
- libtasn1=4.16.0=h27cfd23_0
- libtiff=4.2.0=h85742a9_0
- libunistring=0.9.10=h27cfd23_0
- libuv=1.40.0=h7b6447c_0
- libwebp-base=1.2.0=h27cfd23_0
- lz4-c=1.9.3=h2531618_0
- markupsafe=2.0.1=py38h497a2fe_0
- mkl=2021.2.0=h06a4308_296
- mkl-service=2.3.0=py38h27cfd23_1
- mkl_fft=1.3.0=py38h42c9631_2
- mkl_random=1.2.1=py38ha9443f7_2
- ncurses=6.2=he6710b0_1
- nettle=3.7.3=hbbd107a_1
- networkx=2.5=py_0
- ninja=1.10.2=hff7bd54_1
- numpy=1.20.2=py38h2d18471_0
- numpy-base=1.20.2=py38hfae3a4d_0
- olefile=0.46=py_0
- openh264=2.1.0=hd408876_0
- openssl=1.1.1k=h27cfd23_0
- packaging=20.9=pyhd3eb1b0_0
- pandas=1.2.5=py38h1abd341_0
- pillow=8.2.0=py38he98fc37_0
- pip=21.1.3=py38h06a4308_0
- psipred=4.01=1
- pycparser=2.20=pyh9f0ad1d_2
- pyopenssl=20.0.1=pyhd8ed1ab_0
- pyparsing=2.4.7=pyh9f0ad1d_0
- pysocks=1.7.1=py38h578d9bd_3
- python=3.8.10=h12debd9_8
- python-dateutil=2.8.1=py_0
- python-louvain=0.15=pyhd3deb0d_0
- python_abi=3.8=2_cp38
- pytorch=1.8.1=py3.8_cuda10.2_cudnn7.6.5_0
- pytorch-cluster=1.5.9=py38_torch_1.8.0_cu102
- pytorch-geometric=1.7.2=py38_torch_1.8.0_cu102
- pytorch-scatter=2.0.7=py38_torch_1.8.0_cu102
- pytorch-sparse=0.6.10=py38_torch_1.8.0_cu102
- pytorch-spline-conv=1.2.1=py38_torch_1.8.0_cu102
- pytz=2021.1=pyhd8ed1ab_0
- readline=8.1=h27cfd23_0
- requests=2.25.1=pyhd3deb0d_0
- scikit-learn=0.24.2=py38ha9443f7_0
- setuptools=52.0.0=py38h06a4308_0
- six=1.16.0=pyhd3eb1b0_0
- sqlite=3.36.0=hc218d9a_0
- threadpoolctl=2.1.0=pyh5ca1d4c_0
- tk=8.6.10=hbc83047_0
- torchvision=0.9.1=py38_cu102
- tqdm=4.61.1=pyhd8ed1ab_0
- typing_extensions=3.10.0.0=pyh06a4308_0
- urllib3=1.26.6=pyhd8ed1ab_0
- wheel=0.36.2=pyhd3eb1b0_0
- xz=5.2.5=h7b6447c_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.9=haebb681_0
- pip:
- decorator==4.4.2
- dgl-cu102==0.6.1
- lie-learn==0.0.1.post1
- scipy==1.7.0