Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
麦门语文课 · 接入麦当劳官方 MCP(只读 order-list 读取真实订单),把餐品写成一篇语文课文。16 篇原创文学戏仿,纯 Python 标准库实现、不调用任何大模型;另附零依赖的网页版可离线体验,并一键导出手机分享图片。麦当劳程序员节创意开发大赛参赛作品。
Pi-hole-class DNS ad-blocker on a $2 ESP32-C3 (no PSRAM): 537k domains as 40-bit FNV-1a hashes in flash, binary-searched. UDP DNS sinkhole + web dashboard. https://youtube.com/shorts/RaxszOUMi8E?feature=share
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
An enterprise-class UI design language and React UI library
Label Studio is a multi-type data labeling and annotation tool with standardized output format
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Refine high-quality datasets and visual AI models
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
🌈 An enterprise-class UI components based on Ant Design and Vue. 🐜
Techniques for deep learning with satellite & aerial imagery
A 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 RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
An Android NFC app for reading, writing, analyzing, etc. MIFARE Classic RFID tags.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
High-performance Vision library in Python. Scale your research, not boilerplate.
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
🌈A rich set of enterprise-class UI components based on Ant Design and Blazor.
A treasure chest for visual classification and recognition powered by PaddlePaddle
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
Images to inference with no labeling (use foundation models to train supervised models).
Deep Learning Server and CLI for Torch and TensorRT
The collection of pre-trained, state-of-the-art AI models for ailia SDK
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
TinyVue is an enterprise-class UI component library of OpenTiny community, support both Vue.js 2 and Vue.js 3, as well as PC and mobile.
ClassroomIO is an Intelligent Customer Training Platform that helps SaaS companies use education to grow their business.
PolarDB-X is a cloud native distributed SQL Database designed for high concurrency, massive storage, complex querying scenarios.
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
The most accurate natural language detection library for Rust, suitable for short text and mixed-language text
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.
👁 👂 Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres
Read data from public transit cards using your NFC Android phone! (iOS 13 and PC/SC support coming soon)
A flexible, adaptive classification system for dynamic text classification
🚀 A high performance real-time object detection solution using YOLO11 ⚡️ powered by ONNX-Runtime
Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.
The Dogtag Certificate System is an enterprise-class Certificate Authority (CA) which supports all aspects of certificate lifecycle management, including key archival, OCSP and smartcard management.
Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.
Turn your cameras into Home Assistant sensors with a local AI: garage door open/closed, people and cars, water, gas and power meters read by any camera or ESP32-CAM. 100% local, any CPU.
A live TV channel that teaches whatever you type — LLM-planned lessons rendered just-in-time as 1970s-style cartoons by MiniMax H3 Max Turbo, playing on a CRT in a 3D classroom. Bring your own fal key.
INT8 single-class YOLOv3-Tiny accelerator and OV5640-to-HDMI bare-metal demo for Xilinx Zynq-7000 XC7Z100, with PyTorch training and parameter-export tools. Topics yolov3-tiny, fpga, zynq-7000, xc7z100, verilog, vivado, vitis, pytorch, int8-quantization, object-detection, axi4-stream, ov5640, hdmi, embedded-systems, computer-vision
Fast Track AI Model Training with Streamlit Vision to Production in 2026
No-Code Image Classification Studio: AutoML Tuning Toolkit with Streamlit 2026
A ResNet50-DCBAM deep learning framework for plant disease classification using the PlantVillage dataset with reproducible training and evaluation pipelines.
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Ask an open vision-language model typed questions about an image and get probabilities back, on your own machine.
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Project flat is the Web, Windows and macOS client of Agora Flat open source classroom.