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
High-performance TensorFlow library for quantitative finance.
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
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
CUDA Core Compute Libraries
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
CUDA integration for Python, plus shiny features
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Deep learning in Rust, with shape checked tensors and neural networks
😎 Curated list of awesome things around WebGPU ecosystem.
Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) 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!
Simulation of spiking neural networks (SNNs) using PyTorch.
The write-once-run-anywhere GPGPU library for Rust
TornadoVM: A practical and efficient heterogeneous programming framework for managed languages
An efficient C++20 GPU numerical computing library with Python-like syntax
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