Highlights
- Pro
Stars
Yolo X, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in yo…
Matplotlib styles for scientific plotting
Handout for the tutorial "Creating publication-quality figures with matplotlib"
This repo is the official code of paper "Practical Implementation of KalmanNet for Accurate Data Fusion in Integrated Navigation"
Repository for "Infrared Small Target Detection in Satellite Videos: A New Dataset and A Novel Recurrent Feature Refinement Framework"
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
List of awesome infrared small targets detection methods!
Approaching (Almost) Any Machine Learning Problem
PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDN…
Modeling and studying the trajectory of an aerobalistic rocket
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, Reveal.js, plug-in, and m…
mac-zhou / midea-ac-py
Forked from andersonshatch/midea-ac-pyHome Assistant Custom Integration for Midea Group(Hualing, Senville, Klimaire, AirCon, Century, Pridiom, Thermocore, Comfee, Toshiba, Carrier, Goodman, Friedrich, Samsung, Kenmore, Trane, Lennox, L…
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Representation-Learning-on-Heterogeneous-Graph
Must-read papers on graph neural networks (GNN)