Xtra-Computing/thundersvm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
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ThunderGBM: Fast GBDTs and Random Forests on GPUs
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Latest capture 2026-07-08 03:04
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Scanned 2026-07-08 03:04
CMakeLists.txt
c-cpp ecosystem,
2 dependencies
docs/requirements.txt
python ecosystem,
3 dependencies
python/requirements.txt
python ecosystem,
3 dependencies
python/setup.py
python ecosystem,
3 dependencies
src/test/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
src/thundergbm/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
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ThunderSVM: A Fast SVM Library on GPUs and CPUs
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.
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
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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.
A highly efficient implementation of Gaussian Processes in PyTorch