858 Open source projects that are alternatives of or similar to Pytorch

Language and compiler for the Raspberry Pi GPU

📖 [译] 利用 Python 进行数据分析 · 第 2 版

The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.

3D graphics for iOS using Metal and Swift

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Time series forecasting with PyTorch

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

MATLAB Tensor Tools

Through this configuration, no per voxel data is transferred between the GPU and the CPU at runtime.

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

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

How to: Run Rust code on your NVIDIA GPU

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

ArrayFire: a general purpose GPU library.

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

The fundamental package for scientific computing with Python.

A simple neural network (multilayer perceptron) with backpropagation implemented in Python with NumPy

《利用Python进行数据分析·第2版》

A two-way connector to use regular Python from IronPython in Rhino/Grasshopper, and vice-versa.

Finger Detection and Tracking using OpenCV and Python

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Next-generation HTML renderer for apps and games

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

GPGPU Javascript library 🐸

A vector field explorer

Training deep learning models on AWS and GCP instances

GPGPU microprocessor architecture

Neurokernel Project

Machine learning algorithms implemented by pure numpy

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Python client for DICOMweb RESTful services

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

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

A .NET 5 library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀

Digit recognition with Convolutional Neural Networks in WebGL

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.

List of Deep Learning Cloud Providers

Gateless Gate Sharp is an user-friendly yet extremely powerful open-source multi-algorithm miner for Windows operating systems.

iOS 弹幕库 OCBarrage, 同时渲染5000条弹幕也不卡, 轻量, 可拓展, 高度自定义动画, 超高性能, 简单易上手; A barrage render-engine with high performance for iOS. At the same time, rendering 5000 barrages is also very smooth, lightweight, scalable, highly custom animation, ultra high performance, simple and easy to use!

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

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

Memory efficient MAML using gradient checkpointing

Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration

A Julia wrapper for TensorFlow

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

A Python library for common tasks on 3D point clouds

Various shaders.

64bit multithreaded python data analytics tools for numpy arrays and datasets

Parallel computing with task scheduling

Examples for the usage of "pybind11"

100 numpy exercises (with solutions)

A collection of code examples as well as presentations for training purposes

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

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

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

⚡️ The fastest way to create pixel shaders.

Window-Based Hybrid CPU/GPU Stream Processing Engine

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