Tensors and Dynamic neural networks in Python with strong GPU acceleration

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》)

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

LibRec: A Leading Java Library for Recommender Systems, see

Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.

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

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

TensorLy: Tensor Learning in Python.

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

The Egison Programming Language

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

ATen: A TENsor library for C++11

Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives.

NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.

RFC for common in-memory tensor structure and operator interface for deep learning system

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

OCaml bindings for PyTorch

Experimental tensor-typed deep learning

Python bindings for xtensor

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

Blitz++ Multi-Dimensional Array Library for C++

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

Scientific computing with N-dimensional arrays

The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes

My personal reference for Tensorflow

Tensors and differentiable operations (like TensorFlow) in Rust

High-Performance Tensor Transpose library