Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Xgboost | 25,253 | 796 | 972 | 5 months ago | 79 | November 13, 2023 | 412 | apache-2.0 | C++ | |
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow | ||||||||||
Catboost | 7,564 | 12 | 5 months ago | 20 | September 19, 2023 | 539 | apache-2.0 | Python | ||
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. | ||||||||||
Scikit Optimize | 2,700 | 80 | 191 | 5 months ago | 19 | October 12, 2021 | 320 | bsd-3-clause | Python | |
Sequential model-based optimization with a `scipy.optimize` interface | ||||||||||
Ngboost | 1,543 | 14 | 5 months ago | 27 | November 01, 2023 | 47 | apache-2.0 | Python | ||
Natural Gradient Boosting for Probabilistic Prediction | ||||||||||
Grenade | 1,430 | 3 | 7 months ago | 1 | April 12, 2017 | 23 | bsd-2-clause | Haskell | ||
Deep Learning in Haskell | ||||||||||
Zygote.jl | 1,415 | 5 months ago | 418 | other | Julia | |||||
21st century AD | ||||||||||
Enzyme | 1,142 | 3 months ago | 137 | other | LLVM | |||||
High-performance automatic differentiation of LLVM and MLIR. | ||||||||||
Gradient Free Optimizers | 1,072 | 7 | 6 months ago | 45 | December 29, 2022 | 7 | mit | Python | ||
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces. | ||||||||||
Keract | 1,030 | 7 months ago | 2 | mit | Python | |||||
Layers Outputs and Gradients in Keras. Made easy. | ||||||||||
Tf Explain | 934 | 1 | 7 | 2 years ago | 8 | November 18, 2021 | 41 | mit | Python | |
Interpretability Methods for tf.keras models with Tensorflow 2.x |