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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 | ||
brotlipy @ file:///home/conda/feedstock_root/build_artifacts/brotlipy_1648854164373/work | ||
cachetools==5.2.0 | ||
catboost==1.1.1 | ||
certifi==2022.12.7 | ||
cffi @ file:///tmp/abs_98z5h56wf8/croots/recipe/cffi_1659598650955/work | ||
chardet==4.0.0 | ||
charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1661170624537/work | ||
click==8.1.3 | ||
cmake==3.26.3 | ||
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1666700638685/work | ||
colorlog==6.6.0 | ||
contourpy==1.0.6 | ||
cookiecutter==2.1.1 | ||
cryptography @ file:///home/conda/feedstock_root/build_artifacts/cryptography_1637687020823/work | ||
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==0.8.0 | ||
etils==0.8.0 | ||
evoaug==1.0.6 | ||
fasteners==0.19 | ||
feather-format==0.4.1 | ||
filelock==3.14.0 | ||
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==2024.6.0 | ||
future @ file:///home/conda/feedstock_root/build_artifacts/future_1673596611778/work | ||
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 @ git+https://github.com/songlab-cal/gpn.git@05b23c54c572813810c094b31031901f7109575b | ||
graphviz==0.20.1 | ||
greenlet==2.0.2 | ||
grpcio==1.46.3 | ||
h2o @ file:///home/conda/feedstock_root/build_artifacts/h2o-py_1673012261920/work | ||
h5py==3.7.0 | ||
hickle==5.0.2 | ||
huggingface-hub==0.18.0 | ||
hydra-core==1.3.1 | ||
idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1663625384323/work | ||
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==3.1.4 | ||
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==2.1.5 | ||
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==3.2.1 | ||
ninja==1.11.1 | ||
nucleotide-transformer @ file:///cluster/home/tonyu/VE_Pretraining/nucleotide-transformer | ||
numba==0.56.4 | ||
numcodecs==0.12.1 | ||
numpy==1.23.5 | ||
nvidia-cublas-cu11==11.10.3.66 | ||
nvidia-cublas-cu12==12.1.3.1 | ||
nvidia-cuda-cupti-cu11==11.7.101 | ||
nvidia-cuda-cupti-cu12==12.1.105 | ||
nvidia-cuda-nvcc-cu11==11.8.89 | ||
nvidia-cuda-nvrtc-cu11==11.7.99 | ||
nvidia-cuda-nvrtc-cu12==12.1.105 | ||
nvidia-cuda-runtime-cu11==11.7.99 | ||
nvidia-cuda-runtime-cu12==12.1.105 | ||
nvidia-cudnn-cu11==8.5.0.96 | ||
nvidia-cudnn-cu12==8.9.2.26 | ||
nvidia-cufft-cu11==10.9.0.58 | ||
nvidia-cufft-cu12==11.0.2.54 | ||
nvidia-curand-cu11==10.2.10.91 | ||
nvidia-curand-cu12==10.3.2.106 | ||
nvidia-cusolver-cu11==11.4.0.1 | ||
nvidia-cusolver-cu12==11.4.5.107 | ||
nvidia-cusparse-cu11==11.7.4.91 | ||
nvidia-cusparse-cu12==12.1.0.106 | ||
nvidia-nccl-cu11==2.14.3 | ||
nvidia-nccl-cu12==2.20.5 | ||
nvidia-nvjitlink-cu12==12.5.40 | ||
nvidia-nvtx-cu11==11.7.91 | ||
nvidia-nvtx-cu12==12.1.105 | ||
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 | ||
pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1636257122734/work | ||
pycryptodomex==3.20.0 | ||
pyfaidx==0.7.0 | ||
pynndescent==0.5.8 | ||
pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1608055815057/work | ||
pyparsing==3.0.9 | ||
pyppmd==1.1.0 | ||
pyranges==0.0.117 | ||
pyrle==0.0.35 | ||
pysam==0.21.0 | ||
PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1648857263093/work | ||
python-dateutil==2.8.2 | ||
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 @ file:///home/conda/feedstock_root/build_artifacts/requests_1673863902341/work | ||
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 | ||
six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work | ||
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==1.12.1 | ||
tabulate @ file:///home/conda/feedstock_root/build_artifacts/tabulate_1665138452165/work | ||
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==2.3.1 | ||
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==2.3.1 | ||
typing_extensions==4.12.2 | ||
umap-learn==0.5.3 | ||
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1673452138552/work | ||
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 |