E
einops
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
★9.6kstars
Python
MIT
Updated: 2d ago
📋 Project at a Glance
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What's this?A open-source Dev Tools project, built with Python, focusing on cupy and deep-learning
Who made it?Maintained by arogozhnikov team, 9.6K⭐ on GitHub, #204 out of 2853 in Dev Tools
Why does it exist?With the growing demand for cupy and deep-learning in Dev Tools, arogozhnikov created einops as a streamlined solution.
What can it do?Key use cases: einops, jax, mlx
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/arogozhnikov/einops | 官网 https://einops.rocks
🔗 github.com/arogozhnikov/einops | 官网 https://einops.rocks
Topics
cupydeep-learningeinopsjaxmlxnumpypytorchtensortensorflow