Popular GitHub Repositories for Tensor Contraction

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Tensor library for machine learning

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

? Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

Relax! Flux is the ML library that doesn't make you tensor

Hummingbird compiles trained ML models into tensor computation for faster inference.

On-device AI across mobile, embedded and edge for PyTorch

Learning in infinite dimension with neural operators.

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

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

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

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

Inference Llama 2 in one file of pure ?

Deep learning in Rust, with shape checked tensors and neural networks

TensorLy: Tensor Learning in Python.

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