Explore Projects
Discover 289 open source projects
Showing 181-200 of 289 projects
elFarto/nvidia-vaapi-driver
A VA-API implementation using NVIDIA's NVDEC for hardware-accelerated video decoding.
sabamdarif/termux-desktop
Install a full Linux desktop environment on your Android device with Termux X11 and enable hardware acceleration.
raphamorim/react-ape
A React renderer to build GPU-accelerated UI interfaces using canvas/WebGL for TV and hardware development.
verlab/accelerated_features
Fast and robust local feature extraction for image processing and computer vision applications.
zju3dv/EasyVolcap
EasyVolcap is a Python library that accelerates neural volumetric video research by providing a simple and efficient workflow.
AxeldeRomblay/MLBox
MLBox is a powerful automated machine learning Python library that simplifies and accelerates the machine learning workflow.
dragonflyoss/nydus
Nydus is a high-performance container image service that provides fast, secure, and easy access to container images.
selkies-project/selkies
Open-source, low-latency, accelerated Linux WebRTC HTML5 remote desktop streaming platform for self-hosting, containers, Kubernetes, or cloud/HPC.
hyprwm/hyprlock
A GPU-accelerated screen locking utility for the Hyprland window manager.
Xilinx/brevitas
Brevitas is a PyTorch library for neural network quantization, enabling efficient hardware acceleration on FPGAs and other devices.
typ0520/fastdex
FastDex is a tool that accelerates the compilation of Android APKs by optimizing the dex process.
pluralsh/plural
Plural is an enterprise Kubernetes management platform that accelerates cloud-native deployments across multicloud environments.
vlang/ved
A fast, hardware-accelerated text editor written in the V programming language.
dremio/dremio-oss
Dremio is an open-source data analytics platform that simplifies and accelerates big data analysis.
nerfstudio-project/nerfacc
A general NeRF acceleration toolbox in PyTorch for efficient neural rendering and computer vision.
amandaghassaei/gpu-io
A GPU-accelerated computing library for running physics simulations and other GPGPU computations in a web browser.
mit-han-lab/proxylessnas
An efficient neural architecture search (NAS) method that directly optimizes for the target task and hardware.
mit-han-lab/torchsparse
Efficient training and inference framework for sparse convolution on GPUs, useful for AI and ML developers.
Lightning-AI/lightning-thunder
PyTorch compiler that accelerates training and inference with built-in optimizations.
beehive-lab/TornadoVM
TornadoVM is a heterogeneous programming framework that enables developers to leverage GPUs and other accelerators for improved performance in Java applications.
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