Explore Projects
Discover 342 open source projects
Showing 101-120 of 342 projects
NVlabs/tiny-cuda-nn
A fast C++/CUDA neural network framework for high-performance deep learning and rendering.
LaiFengiOS/LFLiveKit
An open-source iOS live streaming framework that supports H264, AAC encoding, RTMP transmission, and GPU-accelerated video effects.
pytorch/serve
Serves, optimizes, and scales PyTorch models for production use
wookayin/gpustat
A simple command-line utility for querying and monitoring GPU status on NVIDIA-based systems.
AI4Finance-Foundation/ElegantRL
Massively parallel deep reinforcement learning library for efficient, stable, and lightweight RL models.
Diorser/LiteMonitor
A lightweight, customizable Windows desktop and taskbar hardware performance monitoring tool.
ilya-zlobintsev/LACT
A Linux-based GPU configuration and monitoring tool written in Rust for AMD and Nvidia GPUs.
FedML-AI/FedML
A unified and scalable ML library for large-scale distributed training, model serving, and federated learning.
AnswerDotAI/gpu.cpp
A lightweight C++ library for portable low-level GPU computation using WebGPU.
servo/pathfinder
A fast, GPU-accelerated vector graphics renderer for fonts and graphics, written in Rust.
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch for GPU-accelerated machine learning.
NVIDIA/GenerativeAIExamples
Collection of generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
linebender/vello
A GPU compute-centric 2D renderer written in Rust for vibe coders building AI-powered applications.
mausimus/ShaderGlass
A C++ library for overlaying GPU shaders on the Windows desktop, useful for retro gaming and shader development.
deepflowio/deepflow
eBPF-based distributed tracing and profiling tool for observability across Kubernetes and cloud environments.
playcanvas/supersplat
A 3D Gaussian Splat Editor built on the PlayCanvas WebGL engine, focused on GPU-accelerated visualization.
NVIDIA/k8s-device-plugin
NVIDIA device plugin for Kubernetes, enabling GPU acceleration in containerized workloads.
FluidGroup/Brightroom
A composable image editor built with Core Image and Metal for GPU-accelerated image processing.
hujie-frank/SENet
A PyTorch implementation of Squeeze-and-Excitation Networks, a CNN architecture that enhances feature expressiveness.
tensorflow/adanet
A flexible AutoML framework with learning guarantees for building high-performance AI models.
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