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.

Video stabilization using gyroscope data

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

High-performance TensorFlow library for quantitative finance.

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

Lingvo

Resource scheduling and cluster management for AI

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.

GPGPU microprocessor architecture

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

CUDA integration for Python, plus shiny features

Deep learning in Rust, with shape checked tensors and neural networks

The write-once-run-anywhere GPGPU library for Rust

Simulation of spiking neural networks (SNNs) using PyTorch.

😎 Curated list of awesome things around WebGPU ecosystem.

Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

CUDA Core Compute Libraries

An efficient C++17 GPU numerical computing library with Python-like syntax

TornadoVM: A practical and efficient heterogeneous programming framework for managed languages