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wiedersehne authored Oct 18, 2024
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name: monica
channels:
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- brotlipy=0.7.0=py39hb9d737c_1004
- ca-certificates=2022.12.7=ha878542_0
- certifi=2022.12.7=pyhd8ed1ab_0
- cffi=1.15.1=py39h74dc2b5_0
- colorama=0.4.6=pyhd8ed1ab_0
- cryptography=3.4.8=py39h95dcef6_1
- h2o-py=3.38.0.4=pyhd8ed1ab_0
- ld_impl_linux-64=2.38=h1181459_1
- libblas=3.9.0=15_linux64_openblas
- libcblas=3.9.0=15_linux64_openblas
- libffi=3.3=he6710b0_2
- libgcc-ng=11.2.0=h1234567_1
- libgfortran-ng=12.2.0=h69a702a_19
- libgfortran5=12.2.0=h337968e_19
- libgomp=11.2.0=h1234567_1
- liblapack=3.9.0=15_linux64_openblas
- libopenblas=0.3.20=pthreads_h78a6416_0
- libstdcxx-ng=11.2.0=h1234567_1
- ncurses=6.3=h7f8727e_2
- openjdk=8.0.332=h166bdaf_0
- openssl=1.1.1t=h7f8727e_0
- pip=21.2.4=py39h06a4308_0
- pycparser=2.21=pyhd8ed1ab_0
- pyopenssl=20.0.1=pyhd8ed1ab_0
- pysocks=1.7.1=py39hf3d152e_5
- python=3.9.12=h12debd9_1
- python_abi=3.9=2_cp39
- readline=8.1.2=h7f8727e_1
- setuptools=61.2.0=py39h06a4308_0
- six=1.16.0=pyh6c4a22f_0
- sqlite=3.38.3=hc218d9a_0
- tk=8.6.12=h1ccaba5_0
- tzdata=2022a=hda174b7_0
- wheel=0.37.1=pyhd3eb1b0_0
- xz=5.2.5=h7f8727e_1
- zlib=1.2.12=h7f8727e_2
- pip:
- absl-py==1.1.0
- accelerate==0.24.1
- aiohttp==3.8.3
- aiosignal==1.3.1
- alembic==1.11.0
- anndata==0.8.0
- antlr4-python3-runtime==4.9.3
- argcomplete==2.0.0
- argh==0.26.2
- arrow==1.2.2
- asciitree==0.3.3
- astunparse==1.6.3
- async-timeout==4.0.2
- attrs==21.4.0
- axial-positional-embedding==0.2.1
- banal==1.0.6
- beautifulsoup4==4.12.2
- binaryornot==0.4.4
- bio==1.3.9
- bioframe==0.7.2
- biopython==1.79
- biothings-client==0.2.6
- boto3==1.28.73
- botocore==1.31.73
- brotli==1.1.0
- cachetools==5.2.0
- catboost==1.1.1
- chardet==4.0.0
- charset-normalizer==2.0.12
- click==8.1.3
- cmake==3.26.3
- colorlog==6.6.0
- contourpy==1.0.6
- cookiecutter==2.1.1
- cycler==0.11.0
- cython==0.29.30
- dataset==1.6.0
- datasets==2.12.0
- deprecation==2.1.0
- dill==0.3.6
- dm-haiku==0.0.10
- docker-pycreds==0.4.0
- einops==0.6.0
- etils==0.8.0
- evoaug==1.0.6
- fasteners==0.19
- feather-format==0.4.1
- filelock==3.8.2
- fire==0.4.0
- flash-attn==1.0.9
- flash-pytorch==0.1.9
- flatbuffers==1.12
- flopth==0.1.5
- fonttools==4.38.0
- frozenlist==1.3.3
- fsspec==2023.10.0
- future==0.18.2
- gast==0.4.0
- gdown==4.7.1
- genomic-benchmarks==0.0.9
- gffutils==0.11.0
- gitdb==4.0.9
- gitpython==3.1.27
- google-auth==2.8.0
- google-auth-oauthlib==0.4.6
- google-pasta==0.2.0
- googleapis-common-protos==1.56.4
- gpn==0.5
- greenlet==2.0.2
- grpcio==1.46.3
- h5py==3.7.0
- hickle==5.0.2
- huggingface-hub==0.18.0
- hydra-core==1.3.1
- idna==3.3
- importlib-metadata==4.11.4
- importlib-resources==5.9.0
- inflate64==1.0.0
- jax==0.4.19
- jaxlib==0.4.19+cuda11.cudnn86
- jinja2==3.1.2
- jinja2-time==0.2.0
- jmespath==1.0.1
- jmp==0.0.4
- joblib==1.3.2
- keras==2.9.0
- keras-preprocessing==1.1.2
- kipoi==0.8.5
- kipoi-conda==0.3.1
- kipoi-utils==0.7.6
- kipoiseq==0.7.1
- kiwisolver==1.4.4
- libclang==14.0.1
- lightgbm==3.3.5
- lightning-utilities==0.6.0.post0
- linformer==0.2.1
- lit==16.0.5
- llvmlite==0.39.1
- local-attention==1.4.4
- mako==1.2.4
- mamba-ssm==2.0.3
- markdown==3.3.7
- markupsafe==2.1.1
- matplotlib==3.6.2
- mega-pytorch==0.0.15
- ml-dtypes==0.3.1
- mpmath==1.3.0
- multidict==6.0.4
- multiprocess==0.70.14
- multivolumefile==0.2.3
- mygene==3.2.2
- natsort==8.1.0
- ncls==0.0.65
- networkx==2.8.8
- ninja==1.11.1
- nucleotide-transformer==0.0.1
- numba==0.56.4
- numcodecs==0.12.1
- numpy==1.23.5
- nvidia-cublas-cu11==11.10.3.66
- nvidia-cuda-cupti-cu11==11.7.101
- nvidia-cuda-nvcc-cu11==11.8.89
- nvidia-cuda-nvrtc-cu11==11.7.99
- nvidia-cuda-runtime-cu11==11.7.99
- nvidia-cudnn-cu11==8.5.0.96
- nvidia-cufft-cu11==10.9.0.58
- nvidia-curand-cu11==10.2.10.91
- nvidia-cusolver-cu11==11.4.0.1
- nvidia-cusparse-cu11==11.7.4.91
- nvidia-nccl-cu11==2.14.3
- nvidia-nvtx-cu11==11.7.91
- nystrom-attention==0.0.11
- oauthlib==3.2.0
- omegaconf==2.3.0
- opt-einsum==3.3.0
- packaging==21.3
- pandarallel==1.6.5
- pandas==1.4.2
- pathtools==0.1.2
- patsy==0.5.3
- peft==0.6.1
- performer-pytorch==1.1.4
- pillow==9.1.1
- plotly==5.13.1
- product-key-memory==0.1.10
- promise==2.3
- protobuf==3.20.1
- psutil==5.9.1
- ptflops==0.7.1.2
- ptwt==0.1.9
- py7zr==0.21.0
- pyarrow==12.0.0
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pybcj==1.0.2
- pybigwig==0.3.23
- pycox==0.2.3
- pycryptodomex==3.20.0
- pyfaidx==0.7.0
- pynndescent==0.5.8
- pyparsing==3.0.9
- pyppmd==1.1.0
- pyranges==0.0.117
- pyrle==0.0.35
- pysam==0.21.0
- python-dateutil==2.8.2
- python-graphviz==0.20.1
- python-slugify==6.1.2
- pytorch-fast-transformers==0.4.0
- pytorch-lightning==1.9.0
- pytorch-metric-learning==2.6.0
- pytorch-tabnet==4.0
- pytz==2022.1
- pywavelets==1.6.0
- pyyaml==6.0
- pyzstd==0.16.0
- reformer-pytorch==1.4.4
- regex==2022.10.31
- related==0.7.2
- requests==2.28.0
- requests-oauthlib==1.3.1
- responses==0.18.0
- rotary-embedding-torch==0.3.3
- rsa==4.8
- s3transfer==0.7.0
- safetensors==0.4.0
- scanpy==1.9.1
- scikit-learn==1.1.1
- scipy==1.11.3
- seaborn==0.12.1
- sentry-sdk==1.5.12
- session-info==1.0.0
- setproctitle==1.2.3
- shortuuid==1.0.9
- simplejson==3.17.6
- sklearn==0.0
- smmap==5.0.0
- sorted-nearest==0.0.37
- soupsieve==2.4.1
- sparsemax==0.1.9
- sqlalchemy==1.4.48
- statsmodels==0.13.5
- stdlib-list==0.8.0
- sympy==1.12
- tabulate==0.8.9
- tenacity==8.2.2
- tensorboard==2.9.1
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.8.1
- tensorflow==2.9.1
- tensorflow-datasets==4.6.0
- tensorflow-estimator==2.9.0
- tensorflow-hub==0.13.0
- tensorflow-io-gcs-filesystem==0.26.0
- tensorflow-metadata==1.10.0
- tensorly==0.8.0
- termcolor==1.1.0
- text-unidecode==1.3
- texttable==1.7.0
- threadpoolctl==3.1.0
- timm==0.6.12
- tinydb==4.7.0
- tokenizers==0.13.2
- toml==0.10.2
- torch==1.13.1
- torchaudio==0.13.1
- torchdata==0.6.1
- torcheval==0.0.7
- torchinfo==1.8.0
- torchmetrics==0.11.0
- torchtext==0.15.2
- torchtuples==0.2.2
- torchvision==0.14.1
- tqdm==4.64.0
- transformers==4.29.2
- triton==2.0.0
- typing-extensions==4.2.0
- umap-learn==0.5.3
- urllib3==1.26.9
- wandb==0.13.0
- werkzeug==2.1.2
- wrapt==1.14.1
- xgboost==1.7.4
- xxhash==3.2.0
- yarl==1.8.2
- zarr==2.18.2
- zipp==3.8.0
- zstandard==0.23.0
prefix: /cluster/home/tonyu/.conda/envs/monica

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