tensor

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

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

LibRec: A Leading Java Library for Recommender Systems, see

Multi-dimensional arrays (tensors) and numerical definitions for Elixir

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

TensorLy: Tensor Learning in Python.

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

A list of awesome compiler projects and papers for tensor computation and deep learning.

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

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

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

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

ATen: A TENsor library for C++11

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

common in-memory tensor structure

DiffSharp: Differentiable Functional Programming

A library for doing homomorphic encryption operations on tensors

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

Tensors and differentiable operations (like TensorFlow) in Rust

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.

Visualize PyTorch tensors with a single line of code.