Popular GitHub Repositories for License Checker

High Performance Chinese License Plate Recognition Framework.

RF-DETR is a real-time object detection model architecture developed by Roboflow, released under the Apache 2.0 license.

State of the Art Natural Language Processing

A fast type checker and IDE for Python

联通元景万悟智能体平台是一款企业级的支持多租户的大模型应用开发平台，帮助用户打造智能体、工作流、文本问答等应用，并可进行模型纳管。平台license友好，欢迎各位开发者进行二次开发。

Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.

The world's smartest system-wide grammar assistant; a better version of the Apple Intelligence Writing Tools. Works on Windows, Linux, & macOS, with the free Gemini API, local LLMs, & more.

License Plate Detection and Recognition in Unconstrained Scenarios

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首，句子表征及文本相似度计算等功能

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.

An application for automated Docker container updates with a web UI

NeuSpell: A Neural Spelling Correction Toolkit

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

Thorsten-Voice: A free to use, offline working, high quality german TTS voice should be available for every project without any license struggling.

A fast, low-resource Natural Language Processing and Text Correction library written in Rust.

DBeaver agent

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

PLPR utilizes YOLOv5 and custom models for high-accuracy Persian license plate recognition, featuring real-time processing and an intuitive interface in an open-source framework.

A License Plate Image Reconstruction Project in Tensorflow2