440 Open source projects that are alternatives of or similar to Wgpu

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

A Simply Example to show how to use Keras model in multiple processes to do the prediction

Hive OS client for GPU rigs

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The write-once-run-anywhere GPGPU library for Rust

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Tensors and Dynamic neural networks in Python with strong GPU acceleration

Python package for signal processing, with emphasis on iterative methods

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

A suite of benchmarks to test the sequential CPU and GPU performance of most popular high-performance libraries for Python.

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

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GPU accelerated cross filtering with cuDF.

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

Monitor your GPUs whether they are on a single computer or in a cluster

Python client for OmniSci GPU-accelerated SQL engine and analytics platform

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

Deep learning GUI frame work for enterprise

GPU Monte Carlo Ray Tracing Renderer using NVIDIA OptiX

Unoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX

From Vectors to (sub) Pixels, C# 2D Rendering Library

Deep.Net machine learning framework for F#

🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network

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

An imperative and functional programming language

Modern WebGL state wrapper for PEX: allocate GPU resources (textures, buffers), setup state pipelines and passes, and combine them into commands.

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

jupyter/ipython experiment containers for GPU and general RAM re-use

The Higher-Order Intermediate Representation

Play with fluids in your browser (works even on mobile)

Rust bindings to wgpu native library

A LibTorch inference implementation of the yolov5

Spectral, quasi-3D Particle-In-Cell code, for CPU and GPU

Pure C# machine learning framework

💥💻💥 A data-parallel functional programming language

Deep learning for recommender systems

RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library

The C++ Standard Library for your entire system.

⚡️ A fast 2kB low-level WebGL API.

oneAPI Math Kernel Library (oneMKL) Interfaces

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

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

NVIDIA P106 GPUs

A GPU accelerated transition library makes use of displacement maps to create distortion effects.

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

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

A dockerized version of neural style transfer algorithms

ConText v4: Neural networks for text categorization

kmeans using PyTorch

WIP GTK terminal emulator based on Alacritty

GPGPU microprocessor architecture

GPU-Motunui is a path tracer that renders Disney Animation's Moana Island scene.

NVidia dynamic fan control for Linux and Windows

🧠 🦠 An artificial neural network and API to detect Windows malware, based on Ergo and LIEF.

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Comparison tools

NVIDIA GPU Prometheus Exporter

⚡ Useful scripts when using TensorRT

The Mali GPU library used in Rockchip Platform

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.