zhaozhang's repositories

CIE-GNN

Casual Inference-Enabled Graph Neural Networks for Generalized Fault Diagnosis in Industrial IoT System

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EvoFedIDS

Federated Continual Representation Learning for Evolutionary Distributed Intrusion Detection

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Communication-efficient-federated-continual-learning

Communication-efficient federated continual learning

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Pytorch-LRP

Basic LRP implementation in PyTorch

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Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

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TorchLRP

A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).

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Basic-Algorithm

基础算法题

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TrafficManipulator

An automatic packet crafting tool for evading learning-based NIDS

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NAIC_baseline_pytorch

https://discussion.datafountain.cn/questions/2865

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

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Azure-Design

My Design resources for Azure including my Azure Visio stencil to help you design and ideate Azure services

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Kitsune-py

A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

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azure-portal-icons

Official MS icons for Azure Services extracted from Azure Portal

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AI-for-Security-Learning

安全场景、基于AI的安全算法和安全数据分析学习资料整理

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federated_adaptation

Salvaging Federated Learning by Local Adaptation

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Continual-Learning-Benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

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awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

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federated-learning

Federated Learning - PyTorch

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abnormal-traffic

IDS abnormal traffic detection tensorflow

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imbalanced_flow

PCCN for imbalanced flow data classifcation

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FLY_US

美国大学备考资料 How to apply US colleges

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gradient-quantization

vector quantization for stochastic gradient descent .

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Network-Intrusion-Detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

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Overcoming-Catastrophic-forgetting-in-Neural-Networks

Elastic weight consolidation technique for incremental learning.

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