liyanghart Goto Github PK

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

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

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

Awesome papers on AutoML (Automatic Machine Learning)

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.

automl-implementation-for-static-and-dynamic-data-analytics

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

automl_a_survey_of_state_of_the_art

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

autots

Automated Time Series Forecasting

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-autodl

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

awesome-automl

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

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.

awesome-automl-papers

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

awesome-machine-learning

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

concept-drift

Algorithms for detecting changes from a data stream.

dmarinere

ece-9609

github-readme-stats

:zap: Dynamically generated stats for your github readmes

highway-1

Prototype operating system for highway communication module

hyperparameter-optimization-of-machine-learning-algorithms

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

intrusion-detection-system-using-cnn-and-transfer-learning

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

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

My GitHub profile

machine-learning-surveys

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

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

markedpp

Preprocessor for markdown files

missing-data-imputation

ml-notes

notes about machine learning

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.

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.