Popular GitHub Repositories for Dialog State Tracking

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

Ultralytics YOLO11 ?

The Memory layer for AI Agents

? 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.

CVPR 2025 论文和开源项目合集

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

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

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

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

An open source library for deep learning end-to-end dialog systems and chatbots.