ljblob

GraphPro

[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"

UNSW_NB15

Feature coded UNSW_NB15 intrusion detection data.

SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

AnoGraph

Sketch-Based Anomaly Detection in Streaming Graphs

GraphDA

Unsupervised Domain Adaptation on Graphs

UAD-Rule-Extraction

Rule Extraction from Unsupervised Anomaly Detection in Security

DeResistor

A detection-resistant probing system for evasion of Internet censorship

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

ICON

Accepted by NeurIPS 2023

Generalization-Causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

FeAT

[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization

PAIR

[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

LRDGeneralization

Domain Generalization by Learning and Removing Domain-specific Features

Machine-Learning-Based-Botnet-Detection

Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffic flows. It involves various classifiers including Neural Networks, Decision Tree, SVM, Naive Bayes, Logistic Regression, k-Nearest Neighbours.

DAFLNIDS

graph-network-explainability

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

PGMExplainer

Generating PGM Explanation for GNN predictions

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks [torchattacks].

Training-for-the-Future

Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time

Airtag-2023

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

DLWF

Source code for our NDSS'18 paper "Automated Website Fingerprinting through Deep Learning"

Encrypted_Malware_Detection

Code for paper: Machine Learning Based Malware Detection on Encrypted Traffic: A Comprehensive Performance Study

tormalwarefp

Traffic analysis for Tor-based malware detection and classification

ET-BERT

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.

yolov5-pytorch

这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。

awesome-cn

超赞列表合集

Train_Custom_Dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3