gpu-computing
Tracked open-source repos tagged gpu-computing, sorted by stars.
Related topics
Topics that frequently appear alongside gpu-computing on the same repo.
Recent risers
Repos created in the last 90 days, tagged gpu-computing.
No new repos tagged with this topic in the last 90 days.
- #1★ 9,376+32Star change over the last 7 days
- #2
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.
★ 9,085+13Star change over the last 7 days - #3
High-performance TensorFlow library for quantitative finance.
★ 5,486+11Star change over the last 7 days - #4
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
★ 5,254+13Star change over the last 7 days - #5
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
★ 3,134+105Star change over the last 7 days - #6★ 2,864+0Star change over the last 7 days
- #7★ 2,688-1Star change over the last 7 days
- #8
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.
★ 2,559+2Star change over the last 7 days - #9★ 2,495+12Star change over the last 7 days
- #10
GPGPU microprocessor architecture
★ 2,219+3Star change over the last 7 days - #11★ 2,051+0Star change over the last 7 days
- #12
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
★ 2,038+2Star change over the last 7 days - #13
😎 Curated list of awesome things around WebGPU ecosystem.
★ 1,968+7Star change over the last 7 days - #14★ 1,933+4Star change over the last 7 days
- #15
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!
★ 1,929+5Star change over the last 7 days - #16★ 1,695+0Star change over the last 7 days
- #17★ 1,492+3Star change over the last 7 days
- #18★ 1,444+2Star change over the last 7 days
- #19
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
★ 1,407+0Star change over the last 7 days - #20★ 1,321+2Star change over the last 7 days
- #21★ 1,270+2Star change over the last 7 days
- #22
Fast Clojure Matrix Library
★ 1,128+0Star change over the last 7 days - #23
Embedded language for high-performance array computations
★ 1,020+3Star change over the last 7 days - #24
A curated list of best cuda programming books
★ 972+11Star change over the last 7 days - #25
Thin, unified, C++-flavored wrappers for the CUDA APIs
★ 903+0Star change over the last 7 days - #26
Blender Integration for LuxCore
★ 872+4Star change over the last 7 days - #27
List of Deep Learning Cloud Providers
★ 822+2Star change over the last 7 days - #28
Performance-Portable Particle-in-Cell Simulations for the Exascale Era :sparkles:
★ 794+1Star change over the last 7 days - #29
GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.
★ 767+0Star change over the last 7 days - #30★ 634+8Star change over the last 7 days
