1.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.
Ranked by Attention Score: stars gained over the last 180 complete days
15 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
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.
High-performance TensorFlow library for quantitative finance.
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
An efficient C++20 GPU numerical computing library with Python-like syntax
Numerical linear algebra software package
Thin, unified, C++-flavored wrappers for the CUDA APIs
stdgpu: Efficient STL-like Data Structures on the GPU
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
Fast Clojure Matrix Library
Clojure library for CUDA development
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
High-performance Bayesian Data Analysis on the GPU in Clojure
ClojureCL is a Clojure library for parallel computations with OpenCL.