Pinned Repositories
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.
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
ealcobaca
GeneVis
It is a framework for visualization gene expression data, gene/micro-RNA/RNA selection and tumor tissue classification using a perception-driven approach.
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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.
pymfe
Python Meta-Feature Extractor package.
rec-sys-to-cancer
Meta-learning system for recommending algorithms for analyzing gene expression data
ealcobaca's Repositories
ealcobaca/pymfe
Python Meta-Feature Extractor package.
ealcobaca/meta-padawan
Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
ealcobaca/mlglass
We share in this repository some codes and data used during our research about glass property prediction and the design of new glasses.
ealcobaca/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/ealcobaca
ealcobaca/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
ealcobaca/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.
ealcobaca/drpy
ealcobaca/GeneVis
It is a framework for visualization gene expression data, gene/micro-RNA/RNA selection and tumor tissue classification using a perception-driven approach.
ealcobaca/rec-sys-to-cancer
Meta-learning system for recommending algorithms for analyzing gene expression data
ealcobaca/ealcobaca.github.io
My personal website ...
ealcobaca/scikit-learn
scikit-learn: machine learning in Python
ealcobaca/Visualization