Popular GitHub Repositories for Human Parsing

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

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Unified framework for building enterprise RAG pipelines with small, specialized models

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

OpenMMLab Pose Estimation Toolbox and Benchmark.

Real time interactive streaming digital human

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

A research prototype of a human-centered web agent

[ICLR 2025] Agent S: an open agentic framework that uses computers like a human

Robust recipes to align language models with human and AI preferences

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

TTS Towards Human-Sounding Speech

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)