Popular GitHub Repositories for Automatic Number Plate 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

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

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

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

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.

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 self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search

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。

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

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

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

? Leon is your open-source personal assistant.

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)

Face recognition with deep neural networks.

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

A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search

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