213 Open source projects that are alternatives of or similar to Moonlight Chrome

MATE Desktop container designed for Kubernetes supporting OpenGL GLX and Vulkan for NVIDIA GPUs with WebRTC and HTML5, providing an open source remote cloud graphics or game streaming platform. Spawns its own fully isolated X Server instead of using the host X server, therefore not requiring /tmp/.X11-unix host sockets or host configuration.

An aggregate void to yell into about Nvidia's terrible Linux drivers!

A fast Clojure Tensor & Deep Learning library

Xcloud Beta Unofficial App for the Nvidia Shield Android TV. Playing Xbox Cloud Gaming directly on the box Nvidia Shield tv in the best way.

Docker scripts for building ONNX Runtime with TensorRT and OpenVINO in manylinux environment

The C++ parallel algorithms library.

GitHub Action to install CUDA

A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology

Calibrate monitors to sRGB or other color spaces on NVIDIA GPUs, based on EDID data or ICC profiles

ClojureCL is a Clojure library for parallel computations with OpenCL.

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

Benchmark in Hashcat for diferents GPU's

桌面共享, 支持RTSP转发, RTSP推流, RTMP推流。

Profit Switching Mining Administrator For HiveOS/Linux & Windows: HiveOS Integrated

VGA and BIOS rom font extraction

A GPU passthrough tutorial using libvirt and KVM on GNU/Linux

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

PyCon SG 2019 Tutorial: Optimizing TensorFlow Performance

High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.

Simple utility to show nVidia GPU memory usage wrt. CUDA device IDs.

This is a repository for an object detection inference API using the Tensorflow framework.

Scripts to build and use a container to install GPU drivers on CoreOS Container Linux

ILGPU JIT Compiler for high-performance .Net GPU programs

No description or website provided.

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Walkthroughs for DSL, AirSim, the Vector Institute, and more

Qt GUI for ethminer

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

A tool to automate managing your screen's saturation depending on what programs are running

OpenCL for Rust

Calibration guide for the Dell S2716DG and S2716DGR to get the best picture quality and colors

How to: Run Rust code on your NVIDIA GPU

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

Distributed Deep Learning using AzureML

NVIDIA GPUs htop like monitoring tool

Enable AMD/NVIDIA eGFX for All Thunderbolt Macs with SIP, ART & FileVault support.

Display-agnostic acceleration of macOS applications using external GPUs.

The Ultimate Script For Arch Linux

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

JetScan : GPU accelerated portable RGB-D reconstruction system

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Achieve peak performance on x86 CPUs and NVIDIA GPUs

Documentation on how to get everything to work and entry point for new users.

All-in-one AI container for rapid prototyping

Nvidia GPU exporter for prometheus using nvidia-smi binary

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

The Zabbix template for monitoring Nvidia graphics cards.

bash script for managing NVIDIA web drivers on macOS

A safe Rust FFI binding for the NVIDIA® Tools Extension SDK (NVTX).

An on-premises, bare-metal solution for deploying GPU-powered applications in containers

Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra

Thin C++-flavored wrappers for the CUDA Runtime API

Setting up a Jupyterhub Dockercontainer to spawn Jupyter Notebooks with GPU support (containing Tensorflow, Pytorch and Keras)

NVIDIA & AMD GPU Miner for ETH, RVN, GRIN, BEAM, CFX, AE, SERO

GameStream client for iOS/tvOS

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

RealSR super resolution implemented with ncnn library

Statistics on GPUs