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在当前的数字时代，随着网络攻击日益复杂和频繁，网络安全成为了保障信息安全的重中之重。尤其是在网络入侵检测领域，传统的基于规则的检测方法已经难以应对日新月异的攻击技术。因此，利用深度学习技术进行网络入侵检测成为了研究的新趋势。本项目旨在开发一种基于卷积神经网络（CNN）和Transformer的网络入侵检测系统（IntrusionDetectNet），旨在提高检测速度和准确性，降低误报率，为网…
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version in translation
国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）
Sequence to Sequence Learning with Keras
It's a implementation about the paper Liang Huang, Suzhi Bi, and Ying-jun Angela Zhang, "Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Netw…
Underwater acoustic network modelling based on BELLHOP
These codes aim to model a communication system by AutoEncoders and simulate its authentication based on Hanzo papers
DNA storage for nanopore sequencing using convolutional coding and basecaller-decoder integration
This UWOC-JCCESD code is used for the joint channel classification and estimation with signal detection (JCCESD) scheme in underwater wireless optical communication (UWOC) systems.
Learning to decode Protograph LDPC Codes
The Toric Code (surface code for quantum error correction) together with the MWPM decoder (need a package) and the union-find decoder programmed in python
MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code
Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Pytorch implementation of Deep Variational Information Bottleneck
C and MATLAB implementation for Polar encoding and decoding
C and MATLAB implementation for LDPC encoding and decoding
Full piplined LDPC decoder (IEEE 802.16e) implement in FPGA using Xilinx HLS(C synthesis to Verilog Codes)..
This code is for a MATLAB GUI in which AODV routing protocol is implemented for WSN. The source nodes are changing each time with number of packets.
Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis, IEEE Transactions on Communications, Sep. 2021.
Research codes of "Data-Driven Space-Filling Curves". Important: main functions are named as "figGenXXX.m". For example, figGenSFC2DCase.m---2D regular grids; figGenSFC3DCase.m---3D regular grids; …
A library with space-filling curve algorithms (analysis, neighbor-finding, visualization) and other utilities (math, geometry, image processing, LaTeX generation...)
Resource allocation for underlay DSA Cognitive Radio networks using reinforcement learning (Q-Learning))