Popular GitHub Repositories for Estimation Methods

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

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 ;)

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

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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

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

? LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

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

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Effortless data labeling with AI support from Segment Anything and other awesome models.

OpenMMLab Pose Estimation Toolbox and Benchmark.

A curated list of awesome self-supervised methods

Gluon CV Toolkit

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

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

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A collection of important graph embedding, classification and representation learning papers with implementations.