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Discover 133 open source projects
Showing 101-120 of 133 projects
NVIDIA/MatX
An efficient C++20 GPU numerical computing library with Python-like syntax for high-performance computing.
graphdeco-inria/diff-gaussian-rasterization
This is a CUDA library for fast and accurate rasterization of Gaussian primitives, useful for graphics and visualization applications.
andyzeng/tsdf-fusion-python
Python code to fuse multiple RGB-D images into a TSDF voxel volume for 3D reconstruction.
mratsim/Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices.
JuliaGPU/CUDA.jl
A Julia library for CUDA programming, enabling high-performance GPU computing on a wide range of NVIDIA hardware.
tenstorrent/tt-metal
A low-level C++ library for building AI accelerator kernels and operators for Tenstorrent's METAL platform.
NVlabs/curobo
A CUDA-accelerated robotics library for motion planning and control using PyTorch.
erwincoumans/tiny-differentiable-simulator
A header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.
udacity/cs344
Introduction to Parallel Programming class code using CUDA for GPU-accelerated computing
chengzeyi/stable-fast
Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.
LuxCoreRender/LuxCore
LuxCore is a high-performance path-tracing render engine for realistic 3D graphics and visualization.
kwea123/ngp_pl
Instant-NGP in PyTorch+CUDA with PyTorch Lightning for high-quality, high-speed 3D reconstruction and novel view synthesis.
DeepGraphLearning/graphvite
A high-performance graph embedding system that supports CUDA and can be used for machine learning and knowledge graph applications.
bytedance/flux
A fast communication-overlapping library for tensor/expert parallelism on GPUs, useful for AI/ML applications.
stotko/stdgpu
An efficient, STL-like data structure library for GPU acceleration in C++.
Liu-xiandong/How_to_optimize_in_GPU
This repository provides a series of GPU optimization topics and CUDA kernel optimizations for high-performance computing.
PacktPublishing/Learn-CUDA-Programming
Learn CUDA Programming, a library for developing high-performance, parallel applications on NVIDIA GPUs.
uccl-project/uccl
Efficient communication library for GPUs, covering collectives, P2P, and EP for AI/ML workloads
markus-perl/ffmpeg-build-script
An easy-to-use script for building a static FFmpeg binary with non-free codecs on macOS and Linux.
dendenxu/fast-gaussian-rasterization
A high-performance 3D Gaussian Splatting rasterizer for rendering AI-generated graphics.
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