LiYangHart

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Intrusion-Detection-System-Using-CNN-and-Transfer-Learning

Code for intrusion detection system (IDS) development using CNN models and transfer learning

Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation

Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.

PWPAE-Concept-Drift-Detection-and-Adaptation

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

LiYangHart/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

LiYangHart/Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

LiYangHart/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.

LiYangHart/awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

LiYangHart/Intrusion-Detection-System-Using-CNN-and-Transfer-Learning

Code for intrusion detection system development using CNN models and transfer learning

LiYangHart/Intrusion-Detection-System-Using-Machine-Learning

Code for intrusion detection system development using machine learning algorithms (DT, RF, ET, XGBoost, stacking, k-means, BO..)

LiYangHart/automl_a_survey_of_state_of_the_art

AutoML: A Survey of State-of-the-Art

LiYangHart/AutonomousCyber-AutoML-based-Autonomous-Intrusion-Detection-System

This repository includes code for the paper "Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection" accepted in AutonomousCyber, ACM CCS, 2024.

LiYangHart/awesome-architecture-search

A curated list of awesome architecture search resources

LiYangHart/Awesome-AutoDL

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

LiYangHart/MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation

Data stream analytics: Implement online learning methods to address concept drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.

LiYangHart/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Implementation/Tutorial of Automated Machine Learning (AutoML) methods for static/batch and online data analytics

LiYangHart/awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

LiYangHart/awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

LiYangHart/LiYangHart

My GitHub profile

LiYangHart/machine-learning-surveys

A curated list of Machine Learning Surveys, Tutorials and Books.

LiYangHart/OASW-Concept-Drift-Detection-and-Adaptation

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

LiYangHart/PWPAE-Concept-Drift-Detection-and-Adaptation

Online learning methods used to address concept drift in data streams. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" accepted in IEEE GlobeCom 2021.

LiYangHart/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

LiYangHart/automl

Awesome papers on AutoML (Automatic Machine Learning)

LiYangHart/AutoTS

Automated Time Series Forecasting

LiYangHart/awesome-AutoML

Curating a list of AutoML-related research, tools, projects and other resources

LiYangHart/dmarinere

LiYangHart/github-readme-stats

:zap: Dynamically generated stats for your github readmes

LiYangHart/markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

LiYangHart/markedpp

Preprocessor for markdown files

LiYangHart/Missing-data-imputation

LiYangHart/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

LiYangHart/TinyML_EVCI

This repository contains code for comparing traditional Machine Learning (ML) and Tiny Machine Learning (TinyML) in terms of time, memory usage, and performance, specifically in the context of electric vehicle charging infrastructure. It also offers practical insights by implementing TinyML on the ESP32 microcontroller.