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Locational Detection of False Data Injection Attack in Smart Grid: a Multi-label Classification Approach
This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"
This repo contains all the codes and data for 'Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach'
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
An opensource software creates customized datasets for the validation of cybersecurity solutions for IEC 61850 communication-based substations.
Code for Transfer Learning book--《迁移学习导论》配套代码
Heterogeneous Adversarial Deep Domain Adaptation
This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).
A Unified Framework for Federated Semi-Supervised Learning in Heterogeneous IoT Healthcare Systems
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
DRL based Intrusion Detection System
Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
Code for the master project: use DRL for intrusion detection
Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network traffic. Develop an RL agent that operates within the reduced…
Probabilistic time series modeling in Python