Video stabilization using gyroscope data
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.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
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.
CUDA Core Compute Libraries
GPGPU microprocessor architecture
CUDA integration for Python, plus shiny features
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
😎 Curated list of awesome things around WebGPU ecosystem.
Deep learning in Rust, with shape checked tensors and neural networks
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
Write Java. Run on GPUs. Fast.
An efficient C++20 GPU numerical computing library with Python-like syntax
Add a description, image, and links to the gpu-computing topic page so that developers can more easily learn about it.
To associate your repository with the gpu-computing topic, visit your repo's landing page and select "manage topics."