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deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

deeplearningids

A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.

dl_ids_survey

Deep learning models for network intrusion detection

drl-te

Load balancing based on reinforcement learning.

drl_hfv

Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

edge-detect

Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hybrid-cp-rl-solver

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

intrusion-detection-and-prevention-system

Implementation of Intrusion Detection And Prevention System using Deep Learning.

intrusion-detection-systems

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

intrusion-detection-using-deep-neural-network

Intrusion Detection Using Deep Learning

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）

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

netlearner

Deep Learning Tool for Off-line Network Intrusion Detection System

network-intrusion-detection

This project aims to detect Intrusions with a network using deep learning. The network traffic data is converted to multi channel RGB images, that are passed through CNNs to detect features useful to intrusion detection.

network-intrusion-detection-system-using-ml-models

Proposed a multi-level IDS with seven ensemble machine learning algorithms that are running parallely (level 1) and a deep learning algorithm - Forward Feedback ANN (level 2) which would help to overcome the problems of the existing IDS and optimally detect intrusion in any network.

network-intrusion-detection-using-deep-learning

neulns

Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learning.

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

nid

A deep learning based computer network intrusion detection(NID) system

nn-for-co-via-rl

Neural Networks for Combinatorial Optimization via Reinforcement Learning

nsl-kdd-deep-neural-network

Un-tuned and foundational DNN model for the NSL-KDD Intrusion Detection Dataset.

online-vehicle-routing-drl

PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplore.ieee.org/document/8693516

protein-structure-prediction

This project aims to solve a simplified version of the Protein Structure Prediction problem, represented as a combinatorial optimization task, using Reinforcement Learning.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-beginner

pytorch tutorial for beginners