# 数据挖掘

microsoft / LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

microsoft
2021-01-19

PyTorchLightning / pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

PyTorchLightning
2021-01-19

scikit-learn-contrib / imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

scikit-learn-contrib
2020-11-03

catboost / catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

catboost
2021-01-20

iterative / dvc

?Data Version Control | Git for Data & Models

iterative
2021-02-01

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iterative / dvc

?Data Version Control | Git for Data & Models

iterative
2021-02-01

catboost / catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

catboost
2021-01-20

PyTorchLightning / pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

PyTorchLightning
2021-01-19