rnaseek-full / environment.yml
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included pretraining from hpcc and exported dataset from ipynb; zipped all safetensors weights
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name: rnaseek
channels:
- defaults
- conda-forge
- bioconda
dependencies:
- python=3.11
- pip
- setuptools
- wheel
- packaging
- ninja
- pybind11
- pytorch=2.10.0=gpu_cuda128_py311*
- torchvision=0.25.0=cuda128py311*
- torchaudio=2.10.0=cuda128py311*
- pip:
- flash-attn==2.6.3
- torchcodec==0.10.0
- numpy==2.3.5
- pandas
- scipy==1.16.3
- scikit-learn==1.7.2
- matplotlib==3.10.7
- seaborn==0.13.2
- biopython==1.86
- cutadapt
- multiqc
- pysam==0.23.3
- h5py==3.16.0
- openpyxl==3.1.5
- statsmodels==0.14.6
- numba==0.62.1
- pyarrow==21.0.0
- ipykernel
- ipywidgets==8.1.8
- accelerate==1.13.0
- transformers==5.5.4
- datasets==4.8.4
- peft==0.18.1
- trl==1.0.0
- bitsandbytes==0.48.2
- safetensors==0.5.3
- sentencepiece==0.2.1
- tokenizers==0.22.1
- tensorboard==2.20.0
- fastapi==0.123.10
- uvicorn==0.38.0
- pydantic
- psutil
- requests
- tqdm
- ViennaRNA==2.7.0
- logomaker==0.8.7
- umap-learn==0.5.11
- anndata==0.12.10
- pydeseq2==0.5.4
- zarr==3.1.6
- librosa==0.11.0
- audiomentations==0.43.1
- soundfile==0.13.1
- soxr==0.5.0.post1