environment.yml

name: mathsys_rg_2024
channels:
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - ca-certificates=2024.3.11=h06a4308_0
  - libedit=3.1.20230828=h5eee18b_0
  - libffi=3.2.1=hf484d3e_1007
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - ncurses=6.4=h6a678d5_0
  - openssl=1.1.1w=h7f8727e_0
  - pip=23.3.1=py38h06a4308_0
  - python=3.8.0=h0371630_2
  - readline=7.0=h7b6447c_5
  - setuptools=68.2.2=py38h06a4308_0
  - sqlite=3.33.0=h62c20be_0
  - tk=8.6.12=h1ccaba5_0
  - wheel=0.41.2=py38h06a4308_0
  - xz=5.4.6=h5eee18b_0
  - zlib=1.2.13=h5eee18b_0
  - pip:
      - botorch==0.8.5
      - exceptiongroup==1.2.0
      - filelock==3.13.1
      - fsspec==2024.3.1
      - gpytorch==1.10
      - iniconfig==2.0.0
      - jinja2==3.1.3
      - joblib==1.3.2
      - linear-operator==0.4.0
      - markupsafe==2.1.5
      - mpmath==1.3.0
      - multipledispatch==1.0.0
      - networkx==3.1
      - numpy==1.24.4
      - nvidia-cublas-cu12==12.1.3.1
      - nvidia-cuda-cupti-cu12==12.1.105
      - nvidia-cuda-nvrtc-cu12==12.1.105
      - nvidia-cuda-runtime-cu12==12.1.105
      - nvidia-cudnn-cu12==8.9.2.26
      - nvidia-cufft-cu12==11.0.2.54
      - nvidia-curand-cu12==10.3.2.106
      - nvidia-cusolver-cu12==11.4.5.107
      - nvidia-cusparse-cu12==12.1.0.106
      - nvidia-nccl-cu12==2.19.3
      - nvidia-nvjitlink-cu12==12.4.99
      - nvidia-nvtx-cu12==12.1.105
      - opt-einsum==3.3.0
      - packaging==24.0
      - pluggy==1.4.0
      - pyro-api==0.1.2
      - pyro-ppl==1.9.0
      - pytest==8.1.1
      - scikit-learn==1.3.2
      - scipy==1.10.1
      - sympy==1.12
      - threadpoolctl==3.3.0
      - tomli==2.0.1
      - torch==2.2.1
      - tqdm==4.66.2
      - triton==2.2.0
      - typing-extensions==4.10.0
prefix: /home/jungredda/miniconda3/envs/mathsys_rg_2024