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Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
Python library assists deep learning on graphs
DeepWalk - Deep Learning for Graphs
Code and datasets for FSE'22 paper "Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems"
Detect Tactics, Techniques & Combat Threats
Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.
This is a step-by-step guide to implementing a DevSecOps program for any size organization
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Project to load the "Comprehensive, Multi-Source Cyber-Security Events" dataset into a Dgraph cluster.
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
The basic distribution probability Tutorial for Deep Learning Researchers
Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomaly detection, few-shot anomaly detection.
Drain log template miner in Python3
Dtect: Insider threat detection project for Capstone course + Business of Software course at the University of Toronto, mentored by DCSIL and Royal Bank of Canada
The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.
Anomaly detection on node embeddings
PyTorch tutorials and best practices.
TensorFlow tutorials and best practices.
Efficient Deep Learning Survey Paper
E-Mail Header Analyzer
An Email Authorship Identification and Verification Model
Enhance Your English Writing for Science Research 写论文英语素材
The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
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.