Popular GitHub Repositories for Human Motion Analysis

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

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

Easily train a good VC model with voice data <= 10 mins!

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Roadmap to becoming an Artificial Intelligence Expert in 2022

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

SoftVC VITS Singing Voice Conversion

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

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

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

Turns Data and AI algorithms into production-ready web applications in no time.

This repository contains the source code for the paper First Order Motion Model for Image Animation

A toolkit for making real world machine learning and data analysis applications in C++

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

[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

? Easy-to-use and powerful NLP and LLM library with ? Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ?Text Classification, ? Neural Search, ? Question Answering, ?? Information Extraction, ? Document Intelligence, ? Sentiment Analysis etc.

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

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The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.