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

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

NumPy & SciPy for GPU

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

A C++ Cuda Tensor Lazy Computing Library

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

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

Grokking Deep Reinforcement Learning

Deep Learning framework with NVIDIA & AMD support

N-dimensional arrays in Scala 3. Think NumPy ndarray, but type-safe over shapes, array/axis labels & numeric data types

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

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

Deep.Net machine learning framework for F#

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

OCaml bindings for PyTorch

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

Deep learning with spiking neural networks (SNNs) in PyTorch.

A flexible framework of neural networks for deep learning

Multi-dimensional arrays (tensors) and numerical definitions for Elixir

Scientific computing with N-dimensional arrays

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.

用例子学习PyTorch1.0（Learning PyTorch with Examples 中文翻译与学习）

Open deep learning compiler stack for cpu, gpu and specialized accelerators

TensorLy: Tensor Learning in Python.

DiffSharp: Differentiable Functional Programming

Read and write Neuroglancer datasets programmatically.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Deep Learning library using GPU(CUDA/cuBLAS)

Credit Risk analysis by using Python and ML

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Fast N-dimensional aggregation functions with Numba

numba_scipy extends Numba to make it aware of SciPy

Library for drawing 2D graphics using the Nintendo 3DS's PICA200 GPU

PyTorch tutorials A to Z

kmeans using PyTorch

A library for simple shader programming

3D graphics for iOS using Metal and Swift

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

A Box detection algorithm for any image containing boxes.

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

A Python module for compiling PyTorch graphs to C

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

GPGPU microprocessor architecture

A community run, 5-day PyTorch Deep Learning Bootcamp

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

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

Simple Smart Pipe: python productivity-tool for rapid data manipulation

🚕 A spreadsheet-like data preparation web app that works over Optimus (pandas, dask, cuDF, dask-cuDF and PySpark)

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

Implementation of cv::Mat conversion to numpy.array for pybind11

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

NumPy ndarray ⇋ OpenCV Mat conversion, that just works.

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

Python related technologies used in work: crawler, data analysis, timing tasks, RPC, page parsing, decorator, built-in functions, Python objects, multi-threading, multi-process, asynchronous, redis, mongodb, mysql, openstack, etc.

R interface to fast.ai

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

A .NET library for hardware-accelerated, high performance, immediate mode rendering via Direct2D.

NVidia dynamic fan control for Linux and Windows

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