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shap/shap

SHAP explains ML model outputs using Shapley values for interpretability.

25.1K
Active
Jupyter Notebook
ML Ops
#explainability#machine-learning#shapley-values

microsoft/LightGBM

A high-performance gradient boosting framework for machine learning tasks like ranking, classification, and more.

18.1K
Active
C++
ML Ops
Python
#machine-learning#gradient-boosting#data-mining

ddbourgin/numpy-ml

A comprehensive machine learning library in Python with implementations of various algorithms and models.

16.3K
Archived
Python
ML Ops
#machine-learning#numpy#deep-learning

EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.

10.0K
Stable
Jupyter Notebook
AutoML
scikit-learn
#automated-machine-learning#hyperparameter-optimization#model-selection

catboost/catboost

A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.

8.8K
Active
C++
ML Ops
API Frameworks
Python
#machine-learning#gradient-boosting#decision-trees

interpretml/interpret

Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.

6.8K
Active
C++
Interpretability
CLI Tools
scikit-learn
#ai#machine-learning#interpretability

benedekrozemberczki/awesome-decision-tree-papers

A curated collection of research papers on decision, classification and regression trees with implementations.

2.5K
Stable
Python
Machine Learning Research
Machine Learning
Python
#decision-trees#classification-models#regression-trees

stanfordmlgroup/ngboost

A Python library for natural gradient boosting, a powerful technique for probabilistic prediction.

1.8K
Stable
Python
ML Ops
ML Frameworks
Python
#gradient-boosting#machine-learning#natural-gradients

benedekrozemberczki/awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

1.8K
Active
Python
ML Ops
Data Mining
#fraud-detection#data-mining#classification

ClimbsRocks/auto_ml

Automated machine learning for analytics & production use cases powered by popular ML libraries.

1.7K
Archived
Python
ML Ops
ETL & Pipelines
scikit-learn
#automated-machine-learning#data-science#production-ready

benedekrozemberczki/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations in Python.

1.0K
Active
Python
Machine Learning Ops
API Frameworks
Python
#machine-learning#classification#gradient-boosting

TorchEnsemble-Community/Ensemble-Pytorch

A unified ensemble framework for PyTorch to improve model performance and robustness.

1.0K
Archived
Python
ML Ops
API Frameworks
PyTorch
#deep-learning#ensemble#bagging

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