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Search results for gpu nvidia

626 search results found

Alienware 13 R3 Ubuntu 16.04 ⭐ 72

Dispnet Flownet Docker ⭐ 72

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

Nvidia Legacy ⭐ 72

This repository includes patched legacy nVIDIA drivers for newer Linux kernels (5.8 - 6.6). Works on all Linux distros.

Flash_attention_inference ⭐ 72

Performance of the C++ interface of flash attention, flash attention v2 and self quantized decoding attention in large language model (LLM) inference scenarios.

Tutorial Ubuntu 18.04 Install Nvidia Driver And Cuda And Cudnn And Build Tensorflow For Gpu ⭐ 71

Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line

physics meets neural networks

Isaac_ros_pose_estimation ⭐ 70

Deep learned, hardware-accelerated 3D object pose estimation

CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of the assembly.

Overlappedexecution ⭐ 69

A DX12 application for testing the ability of GPU's to overlap execution of dispatch and draw calls

Parenchyma ⭐ 69

An extensible HPC framework for CUDA, OpenCL and native CPU.

Opencv Cuda Docker ⭐ 68

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

Cuda_hook ⭐ 68

Hooked CUDA-related dynamic libraries by using automated code generation tools.

Windowsdisplayapi ⭐ 67

WindowsDisplayAPI is a .Net wrapper for Windows Display and Windows CCD APIs

Zabbix Nvidia Smi Multi Gpu ⭐ 67

A zabbix template using nvidia-smi. Works with multiple GPUs on Windows and Linux.

Unifiedparticleframeworkcuda ⭐ 66

A unified particle framework similar to NVIDIA FleX.

GPUnet is a native GPU networking layer that provides a socket abstraction over Infiniband to GPU programs for NVIDIA GPUs.

Arboretum ⭐ 63

Gradient Boosting powered by GPU(NVIDIA CUDA)

Carlsim4 ⭐ 63

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

Vdpau Va Driver Vp9 ⭐ 62

Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi

Vulkandemos ⭐ 59

Vulkan demos and tutorials.

Accelerate Cuda ⭐ 59

DEPRECATED: Accelerate backend for NVIDIA GPUs

Parallelreductionsbenchmark ⭐ 58

Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!

Isaac_ros_nitros ⭐ 58

NVIDIA Isaac Transport for ROS package for hardware-acceleration friendly movement of messages

Docker Deeplearning ⭐ 57

For running deep neural net experiment on AWS EC2 GPU instance with Docker and Docker machine

An OpenCL Torch Utility Library

Puzzlelib ⭐ 57

Deep Learning framework with NVIDIA & AMD support

Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.

5 Gpu Ethereum Mining Rig ⭐ 55

5 GPU Ethereum Mining Rig Build Guide. Ubuntu, Ethminer, CUDA, NVIDIA 1070 Edit Add topics

Nvidia Docker Keras ⭐ 54

Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs

Remove Hypervisorchecks ⭐ 54

A PowerShell script to remove hypervisor checks in both AMD and NVIDIA consumer GPU drivers for Microsoft Windows

Fedoraprime ⭐ 53

This package provide similar functionality to nvidia-prime for Ubuntu, just for fedora, provide a shell script that will change to NVIDIA GPU and vice versa for Intel GPU

Ppopp2017_artifact ⭐ 53

Third party assembler and GEMM library for NVIDIA Kepler GPU

书籍《深度学习技术图像处理入门》代码环境 Docker 文件

Gpu Burn ⭐ 53

Microway's improved version of GPU Burn

Datadog_nvml ⭐ 53

Monitoring NVIDIA GPUs status using Datadog

Peakperf ⭐ 53

Achieve peak performance on x86 CPUs and NVIDIA GPUs

Isaac_ros_object_detection ⭐ 52

Hardware-accelerated, deep learned model support for object detection including YOLOv8 and DetectNet

G-BLASTN is a GPU-accelerated nucleotide alignment tool based on the widely used NCBI-BLAST.

Isaac_ros_argus_camera ⭐ 51

ROS 2 packages based on NVIDIA libArgus library for hardware-accelerated CSI camera support.

Virtual Background ⭐ 51

Enable virtual background in Linux during your zoom/teams/slack meetings.

Livedetect ⭐ 50

Live video client to DeepDetect

Multiple Smi ⭐ 49

Python bindings for pyNVML and psutil library over network

Computer Vision And Deep Learning Setup ⭐ 49

Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano, and Keras; OpenCV; and NVIDIA drivers, CUDA, and cuDNN libraries on Ubuntu 16.04, 17.10 and 18.04.

Lightgbm Gpu ⭐ 48

Development Repository for GPU-accelerated GBDT training

Nvidia Docker Novnc ⭐ 47

How to build a GPU-powered Lubuntu desktop in the cloud

Optix Path Tracer ⭐ 47

OptiX Path Tracer

Isaac_ros_dnn_stereo_depth ⭐ 45

Hardware-accelerated, deep learned stereo disparity estimation

GPU-accelerated Quantum ESPRESSO using CUDA FORTRAN

Puzzletunneldiscovery ⭐ 45

Source code for SIGGRAPH 2020 Paper "C-Space Tunnel Discovery for Puzzle Path Planning"

Nim Pools Hub Miner ⭐ 44

CPU & GPU Nimiq Miner ⛏️ for NVIDIA & AMD

Fractional Gpus ⭐ 44

Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions

Easy to use neural networks for NVIDIA Jetson (and desktop too!)

Optimus Switch ⭐ 44

*installer finished* installs nvidia prime and makes switching to intel only and back again easy as one command. intel mode fully disables the nvidia gpu to extend battery life.

Opacity Micromap Sdk ⭐ 44

Opacity Micro-Map SDK Source Repository

This repository contains a docker image that I use to develop my artificial intelligence applications in an uncomplicated fashion. Python, TensorFlow, PyTorch, ONNX, Keras, OpenCV, TensorRT, Numpy, Jupyter notebook... 🐋🔥

Vdi Stream Client ⭐ 43

VDI Stream Client is a very tiny, low latency and GPU accelerated client to connect to Windows running Parsec Host.

Gpustat Unraid ⭐ 43

An UnRAID plugin for displaying GPU status

Nvidiagpubeat ⭐ 43

nvidiagpubeat is an elastic beat that uses NVIDIA System Management Interface (nvidia-smi) to monitor NVIDIA GPU devices and can ingest metrics into Elastic search cluster, with support for both 6.x and 7.x versions of beats. nvidia-smi is a command line utility, based on top of the NVIDIA Management Library (NVML), intended to aid in the management and monitoring of NVIDIA GPU devices.

Keras Cntk Docker ⭐ 41

Docker container for keras + cntk intended for nvidia-docker

Isaac_ros_depth_segmentation ⭐ 40

Hardware-accelerated, deep learned depth segmentation and obstacle field ranging using Bi3D

Jellyfish ⭐ 40

GPU rootkit PoC by Team Jellyfish

Moldqn Pytorch ⭐ 40

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Isaac_ros_map_localization ⭐ 40

Hardware-accelerated global localization

Isaac_ros_image_segmentation ⭐ 40

Hardware-accelerated, deep learned semantic image segmentation

Gpudashboard ⭐ 40

A simple dashboard for NVIDIA GPU

Aero15x Laptop Linux Cuda Config ⭐ 40

Working through setting up a Gigabyte aero 15X to dual boot linux and cuda

Hiveos_gddr6x_temps ⭐ 39

Read NVIDIA RTX 3090, 3080, 3080 Ti, 3070 Ti, 3060 Ti, 2080 Ti, 2080, A2000, A4000, A4500, A5000 GDDR6X and GDDR6 temperatures directly on HiveOS GUI

Nvidia Led ⭐ 39

🔦 Awesome effects for NVIDIA GeForce GTX LEDs

Itensorsgpu.jl ⭐ 38

Extension of the Intelligent Tensors library to take advantage of fast GPU-based linear algebra

Training A Custom Tensorflow 2.x Object Detector ⭐ 38

Learn how to train a TensorFlow Custom Object Detector with TensorFlow-GPU

Gputasker ⭐ 38

An awesome gpu tasks scheduler. 轻量好用的GPU机群任务调度工具。觉得有用可以点个star

Turbo_seti ⭐ 37

turboSETI -- python based SETI search algorithm.

Fahclient ⭐ 36

Dockerized Folding@home client with NVIDIA GPU support to help battle COVID-19

Folding At Home ⭐ 36

A Folding@Home Docker container with GPU support

Single Gpu Passthrough For Dummies ⭐ 36

Non-intimidating guide to create a KVM GPU Passthrough via libvirt/virt-manager on systems with only one GPU.

Opencv3 Webcam Docker ⭐ 36

Dockerfile and instructions for OpenCV 3.1 with Python 2.7 with Cuda GPU support and access to a display and webcam.

Cloud Gpu Updater ⭐ 36

For updating P4000, P5000 and M60 GPU's

Repository for the Medical Out-of-Distribution Analysis Challenge.

Isaac_ros_compression ⭐ 35

Hardware-accelerated data compression

Nvidia_libs_test ⭐ 35

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Cluster Smi ⭐ 35

nvidia-smi but for an entire GPU cluster

Gnome Nvidia Extension ⭐ 35

A Gnome extension to show NVIDIA GPU information

Automatically compile kernel modules for Flatcar Linux / CoreOS Container Linux

Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).

Turnkeyml ⭐ 34

The AI insights toolchain

Friendlydockermltutorial ⭐ 34

The Docker meets Machine Learning Tutorial You've Been Wanting!

Cudafy.net ⭐ 34

CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.

Fractional_differencing_gpu ⭐ 33

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

Facade Segmentation ⭐ 33

Optimus Switch Gdm ⭐ 32

modified version to work with gdm/gnome. includes install script. made for manjaro linux.

Optical Flow Gpu Docker ⭐ 32

Compute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.

Gpurcuda ⭐ 32

CUDA GPU functions for R Objects

Qe Gpu Plugin ⭐ 31

Plug-in to accelerate Quantum ESPRESSO v5 using NVIDIA GPU

Mesos Deb Packaging ⭐ 31

Mesos package for Debian, Ubuntu

Euler2d_kokkos ⭐ 31

Simple 2d finite volume solver for Euler equations using c++ kokkos library

Cuda Md5 Crack ⭐ 31

MD5 password cracker for CUDA

Ai Dungeonmaster ⭐ 31

Ubuntu Deep Learning Environment Setup ⭐ 31

Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档

Gpuraytraversal ⭐ 31

Understanding the Efficiency of Ray Traversal on GPUs

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