1456 Open source projects that are alternatives of or similar to Nvidia Docker

Burstcoin C++ CPU and GPU Miner

Examples of C# code compiled to GPU by hybridizer

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

High-Performance Graph Primitives on GPUs

The C++ Standard Library for your entire system.

Fast Clojure Matrix Library

OptiX Path Tracer

CUDA integration for Python, plus shiny features

cuML - RAPIDS Machine Learning Library

oneAPI Math Kernel Library (oneMKL) Interfaces

ThunderGBM: Fast GBDTs and Random Forests on GPUs

🐜 A CUDA based miner for Monero

Library for faster pinned CPU <-> GPU transfer in Pytorch

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Fast Neural Machine Translation in C++

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

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.

Gradient Boosting powered by GPU(NVIDIA CUDA)

GraphVite: A General and High-performance Graph Embedding System

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

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

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

Deep.Net machine learning framework for F#

JCuda - Java bindings for CUDA

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

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

A Neural Network Toolkit.

NumPy & SciPy for GPU

A flexible framework of neural networks for deep learning

Lighthouse 2 framework for real-time ray tracing

Python interface to GPU-powered libraries

OpenCL integration for Python, plus shiny features

gmonitor is a GPU monitor (Nvidia only at the moment)

stdgpu: Efficient STL-like Data Structures on the GPU

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

Experiments with CUDA and Rust

Concurrent CPU-GPU Programming using Task Models

Cooperative primitives for CUDA C++.

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

GPU Accelerated t-SNE for CUDA with Python bindings

Julia wrapper for CUDA runtime API

Rust wrapper for ArrayFire

Deep Learning library using GPU(CUDA/cuBLAS)

ThunderSVM: A Fast SVM Library on GPUs and CPUs

QUDA is a library for performing calculations in lattice QCD on GPUs.

A community run, 5-day PyTorch Deep Learning Bootcamp

💥💻💥 A data-parallel functional programming language

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

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

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

A real time optical flow algorithm implemented on GPU

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

A structured light scanner

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

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

Rusty wrapper for the CUDA Driver API

Some CUDA design patterns and a bit of template magic for CUDA

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

An open-source library of algorithms to analyse time series in GPU and CPU.

Build userspace NVMe drivers and storage applications with CUDA support