Deep learning-based outlier/anomaly detection on multivariate data

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

a time series anomaly detection method based on the calibrated one-class classifier

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

A curated list of awesome Active Learning

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version in translation

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

PyTorch implementations of deep reinforcement learning algorithms and environments

Deep learning-based outlier/anomaly detection

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

A PyTorch implementation of the Deep SVDD anomaly detection method

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

主要存储Datawhale组队学习中“自然语言处理”方向的资料。

主要存储Datawhale组队学习中“自然语言处理”方向的资料。

Deep Learning Book Chinese Translation

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

RouteNet version for the Graph Neural Networking Challenge 2020

OMNeT++的仿真手册

Vue+eCharts demo

机器学习笔记

一个还不错的图床工具，支持Mac/Win/Linux服务器、支持压缩后上传、添加图片或文字水印、多文件同时上传、同时上传到多个云、右击任意文件上传、快捷键上传剪贴板截图、Web版上传、支持作为Mweb/Typora发布图片接口、作为PicGo/ShareX/uPic等的自定义图床，支持在服务器上部署作为图床接口，支持上传任意格式文件。

An Android library that makes developers use SQLite database extremely easy.