Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

Efficient neural feature detector and descriptor

C++ Library Manager for Windows, Linux, and MacOS

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

OpenMMLab Model Deployment Framework

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Anomaly detection related books, papers, videos, and toolboxes

异常值检测算法总结

Model Zoo For OpenCV DNN and Benchmarks.

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

The first real AI developer

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

ZXing ("Zebra Crossing") barcode scanning library for Java, Android

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

翻墙-科学上网

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Open standard for machine learning interoperability

🦜🔗 Build context-aware reasoning applications

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

BoT-SORT: Robust Associations Multi-Pedestrian Tracking