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abe

classification-and-detection-ddosattacks

In this repository, DDOS attacks were detected using Recurrent Neural Networks (LSTM) and Classical Machine Learning Algorithms.

cloudcrypto

A library for cryptographic primitive implementations for Cloud Storage applications.

csdn-code-link

由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接

dqn-dr

Q-learning algorithm to learn and update optimal pricing strategies based on the state of the market.

dynamic-pricing

Thesis on Single-Agent Dynamic Pricing with Reinforcement Learning

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

fdia-pdm

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

hyperledger

Blockchain、Hyperledger、Ethereum、IPFS learning materials / 学习指南

intrusion-detection-using-deep_learning_method--lstm-

Tried to implement Research Paper "Long Short-Term Memory (LSTM) Deep Learning Method for Intrusion Detection in Network Security" and improved it by referring another research paper.

iot-intrusion-detection

Training machine learning models to detect intrusion in IoT networks

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

jpbc-fame

FAME CP-ABE Encryption based on JPBC

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

lucid-ddos

A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection

machine_learning_derivation

notes of machine learning algorithm derivation

magc-dynamic_electric_vehicle_charging_pricing

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing

p2p_energy_trading

Source codes for paper titled "Prospect Theory-inspired automated P2P Energy Trading with Q-learning based Dynamic Pricing" presented at IEEE GLOBECOM 2022

reinforcement_learning_oe

The work aims to explore Value based, Deep Reinforcment Learning (Deep Q-Learning and Double Deep Q-Learning) for the problem of Optimal Trade Execution. The problem of Optimal Trade Execution aims to find the the optimal "path" of executing a stock order, or in other words the number of shares to be executed at different steps given a time constra

share

分享蓝同学收集的软件资源、使用心得...

ssfffff556

Config files for my GitHub profile.

trust-management--iov

Managing trust in internet of vehicles using blockchain and smart contract