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Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
Identify malicious behavior and attacks using Machine Learning with Python
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
An implementation of the Deep Neural Decision Forests in PyTorch
ns-3 suite with implemented Adaptive RED, Red with priority queues (aka GRED), OldestPacketDrop queue (aka FIFO FAST), RED with ECN support, TCP with ECN suport, DCTCP, D2TCP and CoDel with ECN suport
We propose to enhance the practical applicability of online 3D-BPP via learning on a hierarchical packing configuration tree which makes the DRL model easy to deal with practical constraints and well-performing even with continuous solution space.
Flexible resource allocation for edge cloud computing with reinforcement learning
An open framework for Federated Learning.
This is my final semester project of Advance Machine Learning course
Compilation of P4 exercises, examples, documentation, slides for learning or teaching
p4-traffictool helps in packet generation, parsing and dissection for popular backends
Generate synthetic network attack packet flows using generative adversarial networks.
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
A high-performance distributed training framework for Reinforcement Learning
A refactor and extension of the PATECTGAN model with an evaluation suite based on OpenDP
Federated_learning codes used for the the paper "Evaluation of Federated Learning Aggregation Algorithms" and "A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison"
Personalized federated learning simulation platform with Non-IID and unbalanced dataset
POC Federated learning using Tabular data and Flower framework
POISONING ATTACK MACHINE LEARNING-BASED IDS IN FEDERATED LEARNING USING GAN
Code for Blog Posts on Private & Secure AI
Validation of binary classifiers and data used to develop them
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Student project for the Heuristic Optimization Methods course @ FER
Paper of ACML 2020: "PSForest: Improving Deep Forest via Feature Pooling and Error Screening"
Demonstration of Particle Swarm Optimization as a training algorithm for Keras neural network models as a gradient-free training alternative to backpropagation.
Markov decision processes in Python
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.