Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

⛱ Broadly scoped ecosystem & mono-repository of 214 TypeScript projects (and ~185 examples) for general purpose, functional, data driven development

C++ tensors with broadcasting and lazy computing

C++ Implementation of PyTorch Tutorials for Everyone

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

A polyhedral compiler for expressing fast and portable data parallel algorithms

A lightweight high performance tensor algebra framework for modern C++

A Julia library for efficient tensor computations and tensor network calculations. ITensors.jl is supported by the Simons Foundation's Flatiron Institute.

A python library for quantum information and many-body calculations including tensor networks.

A C++ library for efficient tensor network calculations

Tensor Network Learning with PyTorch

A field-theory motivated approach to computer algebra.

Python implementation of the TT-Toolbox

[DEPRECATED] Moved to ROCm/rocm-libraries repo

Sparse and Structured Tensor Compiler

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

Project which implements extraction of data from scatter plots

High-Performance Tensor Transpose library

C++ multidimensional arrays in the spirit of the STL

Aardvark.Base is the foundation of the open-source Aardvark Platform for visual computing, real-time graphics, and visualization.

Scientific computing in pure Crystal

Machine Learning Cheatsheet 2024

An object-oriented general relativity package for Mathematica.

TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor contents easier.

Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN

Matrix and Tensor Completion for Background Model Initialization

Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.

Deep learning for spiking neural networks

The only library allowing to create Tensors (matrices extension) with custom types