A package that makes it trivial to create and evaluate machine learning pipeline architectures.
-
Updated
Jul 16, 2024 - HTML
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Automated Tool for Optimized Modelling
Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models
Automatic Machine Learning Model Creation with GUI and Python.
OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.
An autoML for explainable text classification.
Automated machine learning model building pipeline for microbiome data
Presentación, código y ejemplos del Machine Learning Spain XXVII
Fully autonomous and intelligent platform to detect, monitor and manage potholes issues. An end-to-end system with a PWA front-end for users to report potholes and government authorities to track and manage them.
Auto-tuning Data Science Pipelines
This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.
AutoML Python package with ML models with builtin Hyperparameter Optimization and easy to use API.
AutoGOAL demo and documentation
The website is at following link
Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA
Files for compiling my presentation about H2O.ai.
A machine learning project for 6nomads (a multi-class clasification problem)
Udacity Product manager nanodegree course project work
Evolution-inspired optimisation algorithms
Add a description, image, and links to the automl topic page so that developers can more easily learn about it.
To associate your repository with the automl topic, visit your repo's landing page and select "manage topics."