Popular GitHub Repositories for Offline Recognition

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Port of OpenAI's Whisper model in C/C++

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

Jan is an open source alternative to ChatGPT that runs 100% offline on your computer

? Industrial-strength Natural Language Processing (NLP) in Python

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

State-of-the-art 2D and 3D Face Analysis Project

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

??HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

? Leon is your open-source personal assistant.

Face recognition with deep neural networks.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

kaldi-asr/kaldi is the official location of the Kaldi project.

Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.