Popular GitHub Repositories for State Estimation

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

The Memory layer for AI Agents

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

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

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

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.

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

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

State-of-the-art Machine Learning for the web. Run ? Transformers directly in your browser, with no need for a server!

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in performant way.

A collection of pre-trained, state-of-the-art models in the ONNX format

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

[NeurIPS 2024 Best Paper][GPT beats diffusion?] [scaling laws in visual generation?] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

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

OpenMMLab Pose Estimation Toolbox and Benchmark.

a state-of-the-art-level open visual language model | 多模态预训练模型