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Author:
Cameron Hamilton
Summary:
A living library of machine learning — classic to SOTA, under one roof
Latest version:
1.1.0
Required dependencies:
networkx
|
numpy
|
optuna
|
polars
|
scikit-learn
|
scipy
Optional dependencies:
albumentations
|
bitsandbytes
|
catboost
|
causal-learn
|
ctgan
|
darts
|
datasets
|
dice-ml
|
evaluate
|
fairlearn
|
hummingbird-ml
|
imbalanced-learn
|
interpret
|
joblib
|
librosa
|
lightgbm
|
lime
|
matplotlib
|
mcp
|
mlflow
|
mord
|
mypy
|
neat-python
|
networkx
|
ngboost
|
numba
|
onnx
|
onnxruntime
|
openml
|
peft
|
pgmpy
|
plotly
|
pygam
|
pymfe
|
pyod
|
pytest
|
pytest-cov
|
pytorch-tabnet
|
pytorch-tabular
|
pywavelets
|
ruff
|
sacrebleu
|
scipy
|
seaborn
|
segmentation-models-pytorch
|
shap
|
skl2onnx
|
sktime
|
statsforecast
|
sympy
|
tabdpt
|
tabpfn
|
tensorneat
|
timm
|
tokenizers
|
torch
|
torchaudio
|
torchvision
|
transformers
|
treeple
|
tsfresh
|
xgboost
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