💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Minimalist NMT for educational purposes

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Kubewarden's documentation

Kubewarden's documentation

A PyPI mirror client according to PEP 381 + PEP 503 + PEP 691

Tiny terminal spinner

Check if the system is in low power mode

GitHub actions used by the Kubewarden project

A policy that can run CEL expressions

GitHub Action to publish to NPM

A collection of functions for signing and verifying data with Ethereum keys.

Developer documentation for MetaMask

😎 Awesome lists about all kinds of interesting topics