Modular tensor algebra library

This is regarding algebra in Machine Learning. TensorFlow, PyTorch and numpy will be utilized mostly.

MachineLearningCurves is a collection of abstract papers, insights, and research notes focusing on various topics in machine learning.

Python & Octave/MATLAB code for transformation of a second rank tensor

Here you can get some exercises and explanations about tensor algebra por digital signal processing.

[WIP] a tiny inference only tensor library.

C3E (Complex Compute Core Engine) is a framework, platform, library, and an engine for handling complex computational tasks involving matrices, vectors, and tensors.

Automatic differentiation library

HOTTBOX website

Framework provides abstractions for fast mathematical model implementation based on tensor-vector and array calculus

A CANDECOMP-PARAFAC tensor decomposition method to solve a Markov Decision Process (MDP) gridworld problem.

Tensor algebra library in a single header file in C11 for graphics programming, machine and deep learning and physics.

LaTeX documents for tensor analysis (Xie Xilin)

Deep Learning Research Code Snippets

Simple optical neural network training/converting experiments based on numpy API

Tensor Decomposition Library

An automatic differentiation library written in C++ and CUDA

A symbolic algebra system for supersymmetry calculations.

Massively parallel electronic structure code for experimentation

a Mathematica package for index-free tensor algebra.