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Author:
None
Summary:
Declarative machine learning: End-to-end machine learning pipelines using data-driven configurations.
Latest version:
0.16.1
Required dependencies:
absl-py
|
bitsandbytes
|
dataclasses-json
|
datasets
|
filelock
|
fsspec
|
gpustat
|
jsonschema
|
kaggle
|
lxml
|
numpy
|
openpyxl
|
packaging
|
pandas
|
protobuf
|
psutil
|
py-cpuinfo
|
pyarrow
|
pyyaml
|
requests
|
retry
|
rich
|
sacremoses
|
safetensors
|
scikit-learn
|
scipy
|
sentencepiece
|
spacy
|
tabulate
|
tensorboard
|
torch
|
torchaudio
|
torchcodec
|
torchinfo
|
torchmetrics
|
torchvision
|
tqdm
|
transformers
|
xlrd
|
xlwt
Optional dependencies:
accelerate
|
aim
|
awscli
|
ax-platform
|
bayesian-optimization
|
captum
|
comet-ml
|
configspace
|
dask
|
faiss-cpu
|
fastapi
|
flaml
|
future
|
gputil
|
hiplot
|
hpbandster
|
httpx
|
hyperopt
|
loralib
|
matplotlib
|
mlflow
|
modin
|
nevergrad
|
optuna
|
peft
|
predibase
|
prometheus-client
|
ptitprince
|
pyarrow
|
pytest
|
pytest-rerunfailures
|
pytest-timeout
|
python-multipart
|
ray
|
s3fs
|
scikit-optimize
|
seaborn
|
sentence-transformers
|
sqlalchemy
|
tblib
|
tifffile
|
torchao
|
uvicorn
|
wandb
|
wget
|
zoopt
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