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100 Days of ML Coding
2018 - Kaggle - TalkingData AdTracking Fraud Detection Challenge: Silver medal (银牌)
this repository for Ant Colony Optimization algorithm works
Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.
Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"
This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such as GWO, FPA, SCA, PSO and SSA are provided.
💡 Adversarial attacks on explanations and how to defend them
Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intrusion Detection Systems. Also contains code for "SparseIDS: Learning Packet Sampling with Reinforcement Learning" (branch "rl").
Python library for adversarial machine learning (evasion, extraction, poisoning) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
A collection of artificial intelligence and machine learning tutorials
An Algorithm for making handoff decisions in a sliced 5G network
🧑🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠
A research project of anomaly detection on dataset IoT-23
Using RL for anomaly detection in NSL-KDD
A free and open Indoor Navigation Service with superb accuracy!
Regularly Updated | Collection of the best Data Science and AI Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet
Simple Experiments to Give Some Intuition behind Deep Neural Networks
A PyTorch library for building deep reinforcement learning agents.
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
Federated Learning Library: https://fedml.ai
Federated learning on graph and tabular data related papers, frameworks, and datasets.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Publication catalog for research on Federated RL (FRL).
A curated list of data mining papers about fraud detection.
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.