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62 search results found

Pytorch ⭐ 74,794

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Effectivetensorflow ⭐ 8,646

TensorFlow tutorials and best practices.

Trax — Deep Learning with Clear Code and Speed

Einops ⭐ 7,548

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

NumPy & SciPy for GPU

Megengine ⭐ 4,711

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

Pytorch Examples ⭐ 4,170

Simple examples to introduce PyTorch

Xtensor ⭐ 3,190

C++ tensors with broadcasting and lazy computing

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

Tensorly ⭐ 1,466

TensorLy: Tensor Learning in Python.

Effectivepytorch ⭐ 1,321

PyTorch tutorials and best practices.

Numsharp ⭐ 1,256

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Eagerpy ⭐ 645

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

Tensor Sensor ⭐ 634

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

Xtensor Python ⭐ 331

Python bindings for xtensor

Pytorch_fft ⭐ 264

PyTorch wrapper for FFTs

Functional tensors for probabilistic programming

numsca is numpy for scala

Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)

Di Treetensor ⭐ 169

Let DI-treetensor help you simplify the structure processing!（树形运算一不小心就逻辑混乱？DI-treetensor快速帮你搞定）

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

Drop-in autodiff for NumPy.

Mtensor ⭐ 146

a c++/cuda template library for tensor lazy evaluation

Torchsearchsorted ⭐ 131

Pytorch Custom CUDA kernel for searchsorted

Python_audio_loading_benchmark ⭐ 121

Benchmark popular audio i/o packages

Cloud Volume ⭐ 120

Read and write Neuroglancer datasets programmatically.

Autoray ⭐ 106

Abstract your array operations.

Pytorch Cheatsheet ⭐ 82

Pytorch Cheatsheet

Numpy format for Torch

PyTorch bindings for R

Tensorflow Vs Pytorch ⭐ 60

Guide for both TensorFlow and PyTorch in comparative way

Puzzlelib ⭐ 57

Deep Learning framework with NVIDIA & AMD support

Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.

Structure Tensor ⭐ 45

Structure tensor 2D and 3D implementation for Python.

Pytorch Cookbook ⭐ 45

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

Tensor.net ⭐ 41

A lightweight and high-performance tensor library which provides numpy-like operations but .NET style interfaces. It supports generic tensor, Linq, C# native slices and so on. (Qushui student project))

Xtensor.jl ⭐ 37

Julia package for xtensor-julia

Pytorch Examples Cn ⭐ 34

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

A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")

Windows port of PyTorch. Alpha quality

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

Tensorshare ⭐ 25

🤝 Trade any tensors over the network

Tensor Decomposition In Python ⭐ 24

A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python

Yet another mini autodiff system for educational purposes

A simple and efficient wrapper for reading videos as NumPy tensors

Abeliantensors ⭐ 17

A library for Abelian symmetry preserving tensors in Python 3

Yaae: Yet another autodiff engine (written in Numpy).

Nimpy_numpy_examples ⭐ 17

Examples to access numpy array data using nimpy

Pytorch Unattached ⭐ 14

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Toeffipy ⭐ 13

ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.

Phantom Tensors ⭐ 13

Tensor-like types – with variadic shapes – that support both static and runtime type checking, and convenient parsing

Pytensor ⭐ 12

A numpy deep learning framework

Introduction To Numpy Matplotlib Tensorflow ⭐ 11

NumPy fundamentals for tensor computation; Matplotlib for data visualization

Pytorch Coriander ⭐ 11

OpenCL build of pytorch - (in-progress, not useable)

Dataclasses Tensor ⭐ 10

Easily serialize dataclasses to and from tensors (PyTorch, NumPy)

Pycp_apr ⭐ 10

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.

Sparse Poisson Factorization ⭐ 10

Poisson Matrix and Tensor Factorization with sparse input and internal representations

Displayarray ⭐ 10

A OpenCV interface to display tensors, multiple cameras, and so on.

Spatial Pyramid Pooling ⭐ 9

Spatial Pyramid Pooling layer implemented in NumPy and Tensorflow

Numpyviewer ⭐ 9

Viewer for hyperspectral Numpy cubes and (2d/3d/4d)-tensors. (GPLv2)

Mnist Digit Reader ⭐ 8

A Web Application Built with Flask and Python that reads images containing numbers with the Help of Tensor-flow should recognize each digit from 0 to 9

Ltn In Conceptual Spaces ⭐ 8

Applying Logic Tensor Networks in Conceptual Spaces

A generic, composable multi-dimensional array library.

A Python program for calculating the surface SHG yield for semiconductors.

Pyfunctionbases ⭐ 7

A Python module to compute multidimensional arrays of evaluated (orthogonal) functions.

Multidim_indexing ⭐ 7

Batch multidimensional indexing for pytorch

Ailearning ⭐ 7

AI => Python + MachineLearning + DeepLearning（PyTorch）

Healthron ⭐ 5

A Disease Outbreak Assistance system using machine learning and Artifitial Intelligence

Computer Vision UTils

Physics objects backed by NumPy and/or TensorFlow.

Tensor Trickle ⭐ 5

A simple, easily understandable library for deep learning in Python with NumPy.

This library is designed to generate visualizations of neural networks by analyzing PyTorch code. Unlike conventional methods, our approach eliminates the need for large parameter files (pth) or specific input formats. With minimal AI knowledge, users can leverage this tool to create visualizations that aid in understanding complex networks.

Cxxnet Clstm ⭐ 5

CLSTM? Supporting convolutional LSTM structure and end-to-end network training, in order to better understand video data.

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