Popular GitHub Repositories for Community Detection

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

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

OpenMMLab Detection Toolbox and Benchmark

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

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

deep learning for image processing including classification and object-detection etc.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

CVPR 2025 论文和开源项目合集

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

Proxmox VE Helper-Scripts (Community Edition)

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

DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Face recognition using Tensorflow

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

An open source library for face detection in images. The face detection speed can reach 1000FPS.

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.