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Name: programmer
Type: User
Bio: test
Name: programmer
Type: User
Bio: test
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.
Deep learning models for network intrusion detection
Load balancing based on reinforcement learning.
Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A toolkit for developing and comparing reinforcement learning algorithms.
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Implementation of Intrusion Detection And Prevention System using Deep Learning.
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 Learning
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)
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Deep Learning Tool for Off-line Network Intrusion Detection System
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.
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.
Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learning.
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
A deep learning based computer network intrusion detection(NID) system
Neural Networks for Combinatorial Optimization via Reinforcement Learning
Un-tuned and foundational DNN model for the NSL-KDD Intrusion Detection Dataset.
PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplore.ieee.org/document/8693516
This project aims to solve a simplified version of the Protein Structure Prediction problem, represented as a combinatorial optimization task, using Reinforcement Learning.
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 implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
pytorch tutorial for beginners
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.