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

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.

Presentación, código y ejemplos del Machine Learning Spain XXVII

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.

The website is at following link

AutoGOAL demo and documentation

AutoML Python package with ML models with builtin Hyperparameter Optimization and easy to use API.

Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA

Manuscript for tpot-fss

Projects Implemented for the AI Product Manager Nanodegree Program

Files for compiling my presentation about H2O.ai.

Udacity Product manager nanodegree course project work

Optimized CNN achieving ~90% accuracy with 38.6% parameter reduction for production-ready digit recognition

A machine learning project for 6nomads (a multi-class clasification problem)