A collection of reference environments for offline reinforcement learning

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

A high-performance distributed training framework for Reinforcement Learning

Implementation of "Website Fingerprinting at Internet Scale"

A crawler based on Tor Browser and Selenium

Scapy: the Python-based interactive packet manipulation program & library.

Tor Browser automation with Selenium.

A Network Packet Sniffing tool developed in Python 3.

Implementation of the paper "Minipatch: Undermining DNN-based Website Fingerprinting with Adversarial Patches" which is published in IEEE Transactions on Information Forensics and Security.

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

Codes for WF attacks, defenses

Code for the paper "Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning" (PETS 2019)

Must-read Papers on Textual Adversarial Attack and Defense

AWA: Adversarial Website Adaptation

free V2

The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

[IJCNN 2021] Structure-Aware Hierarchical Graph Pooling using Information Bottleneck

Graph Neural Network Library for PyTorch

Pytorch implementation of Graph U-Nets (ICML19)

A wrapper for combining yaml configuration files and command line argument parsing.

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

The official sources for the RDKit library

Caffe code to accompany my Tutorial on Variational Autoencoders

informal exposition of Weisfeiler-Leman similarity