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advance-instrusion-detection-system

Intrusion detection system using reinforcement learning

anomaly-reactionrl

Using RL for anomaly detection in NSL-KDD

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep_rl

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)

deeplearning_ids

Deep learning based Intrusion Detection System

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

dlcv_new

intrusion-detection-system

I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.unb.ca/cic/datasets/ids-2017.html. By keeping Monday as the training set and rest of the csv files as testing set, I tried one class SVM and deep CNN model to check how it works. Here the Monday dataset contains only normal data and rest of the days contains both normal and attacked data. Also, from the same university (UNB) for the Tor and Non Tor dataset, I tried K-means clustering and Stacked LSTM models in order to check the classification of multiple labels.

keras-rl

Deep Reinforcement Learning for Keras.

kuthesis

고려대학교 석·박사학위 논문 TeX 템플릿

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

network-intrusion-detection

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

ppo-keras

My implementation of the Proximal Policy Optisation algorithm using Keras as a backend

practicalsessions2020

Repository for tutorial sessions at EEML2020

reinforcement-learning-book

reinforcementlearningatoz

The official code repository of Fastcampus <Reinforcement Learning A-Z> (패스트 캠퍼스 강화학습 A-Z)

rlfrombasics

provides all the codes from the book "RLBook(titles will be changed later)"

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

unity_ml_agents

Unity ML-agents Project Repository of RLKorea