wf-deng

wf-deng

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Best-Incremental-Learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

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CLAD

(Coming soon...) CLAD: Cross-Layer Anomaly Detection

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df

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

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flowcontainer

从pcap获取流的基本信息工具

Language:PythonLicense:MITStargazers:180Issues:0Issues:0

DeepTraffic

Deep Learning models for network traffic classification

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latent-generative-replay

Implementation of "Latent Generative Replay for Resource-Efficient Continual Learning of Facial Expressions" (Presented at FG 2023)

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ar1-pytorch

AR1* with Latent Replay, implemented in PyTorch

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GFR-IL

Generative Feature Replay For Class-Incremental Learning

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Deep-Packet

Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning

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traffic_classification_utils

网络流量分类对比方法汇总

Language:PythonStargazers:140Issues:0Issues:0

MNISTCharacterGenerator

Using WGAN-GP to create MNIST characters. Most of code taken from https://github.com/eriklindernoren/PyTorch-GAN.

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USTC-TK2016

Toolkit for processing PCAP file and transform into image of MNIST dataset

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PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

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