MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

🔐 AI decoding Trump's posts × stock market | AI 解碼川普推文 × 美股 | AIでトランプ投稿×株式市場を解読 — 31.5M models, 61.3% hit rate, open source

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

MIME mail encoding and decoding package for Go

[ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

A diffusion-based framework for document OCR that replaces autoregressive decoding with block-level parallel diffusion decoding.

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

Fast native networking primitives for React Native built on Nitro Modules — react-native-nitro-fetch, react-native-nitro-websockets, and react-native-nitro-text-decoder. Covers the fetch API, global replacement, prefetching and cold-start cache warming, the NitroWebSocket class and pre-warming, migrating from React Native's built-in WebSocket, the in-process NetworkInspector, native Perfetto / Instruments tracing, the native TextDecoder, and plugging nitro-fetch into axios via a custom adapter.

Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse

CSV Decoding and Encoding for Elixir

A library for real-time video stream decoding to CUDA memory

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications