ealcobaca

pymfe

Python Meta-Feature Extractor package.

meta-padawan

Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.

mlglass

We share in this repository some codes and data used during our research about glass property prediction and the design of new glasses.

alchemist-ai

The Alchemist uses a pool of optimization algorithms and machine learning models to search for viable glass compositions for a given glass transition temperature (Tg) value.

ealcobaca

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

alchemist-web

A Web-based platform for Alchemist. The Alchemist uses a pool of optimization algorithms and machine learning models to search for viable glass compositions for a given glass transition temperature (Tg) value.

drpy

GeneVis

It is a framework for visualization gene expression data, gene/micro-RNA/RNA selection and tumor tissue classification using a perception-driven approach.

rec-sys-to-cancer

Meta-learning system for recommending algorithms for analyzing gene expression data

ealcobaca.github.io

My personal website ...

scikit-learn

scikit-learn: machine learning in Python

Visualization