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An analytical framework for network traffic and behavioral analytics
extract flow feature from pcap
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
FSL-Mate: A collection of resources for few-shot learning (FSL).
Second version of the gad project
GAINS: Getting stArted wIth biNary analysiS
Training code for GATv3 SBM
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Graph Neural Network implemented in the LANL dataset
An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
一款适用于红蓝对抗中的仿真钓鱼系统
A curated collection of adversarial attack and defense on graph data.
A curated list of adversarial attacks and defenses papers on graph-structured data.
TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.
A curated list of graph data augmentation papers.
Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
Research papers utilize graph models in cybersecurity scenarios
Representation learning on large graphs using stochastic graph convolutions.
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
🎣 Using deep learning (word level and character level embeddings combined with GRU layers) to detect Phishing using the URL
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.