a delightful machine learning tool that allows you to train, test, and use models without writing code

Encodings for neural architecture search

This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.

Experiments of my bachelor thesis in Computer Science titled Una estrategia de Meta-Learning para flujos genéricos de AutoML

Auto ML application app with dash. Classification and Regression algorithms.

Analyze the tunability of machine learning models with Grid Search, Random Search, and Bayesian Optimization. This project explores hyperparameter tuning methods on diverse datasets, comparing efficiency, stability, and performance. Featuring Random Forest, XGBoost, Elastic Net, and Gradient Boosting.

🔬AutoML experiments for research and benchmarking purposes