1106 Open source projects that are alternatives of or similar to Gmonitor

Distributed Deep Learning using AzureML

Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0

[内测中]前向式Python环境快捷封装工具，快速将Python打包为EXE并添加CUDA、NoAVX等支持。

an implementation of parallel linear BVH (LBVH) on GPU

A domain-specific language and compiler for image processing

GitHub Action to install CUDA

A library for high performance deep learning inference on NVIDIA GPUs.

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

Script to remotely check GPU servers for free GPUs

Statistics on GPUs

GPU Fluid Simulation with Volumetric Rendering

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)

How to: Run Rust code on your NVIDIA GPU

ArrayFire: a general purpose GPU library.

Concurrent CPU-GPU Programming using Task Models

Hidden miner builder

Gradient Boosting powered by GPU(NVIDIA CUDA)

CUDA programming in Julia.

All-in-one AI container for rapid prototyping

A collection of GICP-based fast point cloud registration algorithms

Rusty wrapper for the CUDA Driver API

BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker

⚡ Useful scripts when using TensorRT

High-performance Vision library in Python. Scale your research, not boilerplate.

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

A simple dashboard for NVIDIA GPU

CUDA integration for Python, plus shiny features

Julia wrapper for CUDA runtime API

NPlusMiner + GUI | NVIDIA/AMD/CPU miner | AI | Autoupdate | MultiRig remote management

A flexible framework of neural networks for deep learning

Fork of CUDA GPU memtest 👓

Fast Neural Machine Translation in C++

Embed a JavaScript/WebGL application on a Nvidia Jetson TX2 and stream the results through websockets. It does not rely on CUDA/Jetpack. HDMI touchscreen, virtual keyboard, GPIO control, wifi config are included.

OpenCL 1.2 implementation for Tensorflow

💰 USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)

Deep Learning library using GPU(CUDA/cuBLAS)

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.

Python bindings for pyNVML and psutil library over network

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

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

Numeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

GPU Accelerated t-SNE for CUDA with Python bindings

High-Performance Graph Primitives on GPUs

ThunderSVM: A Fast SVM Library on GPUs and CPUs

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

waifu2x converter ncnn version, runs fast on intel / amd / nvidia GPU with vulkan

NVidia dynamic fan control for Linux and Windows

NVIDIA P106 GPUs

GPU/CPU Mining script with intelligent profit-switching between miningpools, algorithms, miners, using all possible combinations of devices (NVIDIA, AMD, CPU). Features: actively maintained, uses the top actual miner programs (Bminer, Ccminer, Claymore, Dstm, EnemyZ, Sgminer, T-rex and more) easy setup wizard, webinterface, auto update.

Deep.Net machine learning framework for F#

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

NvAPIWrapper is a .Net wrapper for NVIDIA public API, capable of managing all aspects of a display setup using NVIDIA GPUs

Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)

oneAPI Math Kernel Library (oneMKL) Interfaces

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

A structured light scanner

☁️ Volumetric path tracer using cuda

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture