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environment.yml
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name: protein2pam
channels:
- conda-forge
- bioconda
- nvidia
- pytorch
- senyan.dev
dependencies:
- conda-forge::pip
- conda-forge::python=3.8.*
- conda-forge::setuptools
- nvidia::cuda-cudart=11.8.89=0
- nvidia::cuda-cupti=11.8.87=0
- nvidia::cuda-libraries=11.8.0=0
- nvidia::cuda-nvrtc=11.8.89=0
- nvidia::cuda-nvtx=11.8.86=0
- nvidia::cuda-runtime=11.8.0=0
- conda-forge::cudatoolkit=11.8.0=h37601d7_11
- senyan.dev::cudatoolkit-dev=11.8.0=h1fa729e_6
- pytorch::pytorch=2.0.1=py3.8_cuda11.8_cudnn8.7.0_0
- pytorch::pytorch-cuda=11.8=h7e8668a_5
- pytorch::pytorch-mutex=1.0=cuda
- pytorch::torchaudio=2.0.2=py38_cu118
- pytorch::torchtriton=2.0.0=py38
- pytorch::torchvision=0.15.2=py38_cu118
- bioconda::mmseqs2
- bioconda::kalign2==2.04
- conda-forge::openmm=7.5.1
- conda-forge::pdbfixer
- conda-forge::biotite=0.35.0=py38h26c90d9_1
- pip:
# General python deps
- black
- flake8
- isort
- jupyter
- matplotlib
- numpy>=1.20.0
- pandas
- seaborn>=0.12.0
- scikit-learn
- scipy
- tqdm
- pre-commit
- logomaker>=0.8
- fair-esm>=2.0.0
# Deep learning deps
- accelerate>=0.21.0
- bitsandbytes>=0.41.1
- einops>=0.6.0
- tensorboard
- transformers>=4.30
- tokenizers
- pynvml
- torch
- Levenshtein
- sparse
# GCP deps
- dvc[gs]
- scmrepo>=0.1.15 # avoids a bug in DVC
- google-cloud-storage
# Bio-related deps
- biopython>=1.79
- tmscoring>=0.4
- iminuit<2
- pyhmmer
# Flask API deps
- flask
- gunicorn
- Flask-Cors