thomaslin1990 Goto Github PK
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Type: User
Working on 68/96 landmarks detection with RetinaFace
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
算法和数据结构学习笔记
The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.
Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).
Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
Keras implementation of Adversarially Learned One-Class Classifier or ALOCC for short.
Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
Real-World Anomaly Detection in Surveillance Videos
Anomaly detection related books, papers, videos, and toolboxes
Pytorch implementation of anomaly prediction.
Implementation of Real-World Anomaly Detection CVPR_2018 paper
A simple and effective method for single-class classification of images
[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Attention-Driven Loss for Anomaly Detection in Video Surveillance
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem
A curated list of awesome anomaly detection resources
📝Awesome and classical image retrieval papers
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Collection for Few-shot Learning
A curated list of awesome self-supervised methods
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Pretrained bag-of-local-features neural networks
Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.