Modular tensor algebra library

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

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

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

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

[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

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

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

LaTeX documents for tensor analysis (Xie Xilin)

Deep Learning Research Code Snippets

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

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

Tensor Decomposition Library

A symbolic algebra system for supersymmetry calculations.

Massively parallel electronic structure code for experimentation

a Mathematica package for index-free tensor algebra.

An automatic differentiation library written in C++ and CUDA