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

Manuscript for tpot-fss

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