Li Yang, PhD's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
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.
Awesome papers on AutoML (Automatic Machine Learning)
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.
Implementation/Tutorial of Automated Machine Learning (AutoML) methods for static/batch and online data analytics
AutoML: A Survey of State-of-the-Art
Automated Time Series Forecasting
A curated list of awesome architecture search resources
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Curating a list of AutoML-related research, tools, projects and other resources
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.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
A curated list of awesome Machine Learning frameworks, libraries and software.
Algorithms for detecting changes from a data stream.
:zap: Dynamically generated stats for your github readmes
Prototype operating system for highway communication module
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Code for intrusion detection system development using CNN models and transfer learning
Code for intrusion detection system development using machine learning algorithms (DT, RF, ET, XGBoost, stacking, k-means, BO..)
My GitHub profile
A curated list of Machine Learning Surveys, Tutorials and Books.
machine learning and deep learning tutorials, articles and other resources
Markdown Cheatsheet for Github Readme.md
Preprocessor for markdown files
notes about machine learning
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.
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.