FernandoCarazoMelo

introduccion-a-python

Curso de Introducción a la Programación en Python - Impartido en TECNUN Universidad de Navarra

Machine-Learning-for-Biomedical-Data

Course of Machine Learning for Biomedical Data -TECNUN University of Navarra

MINT21-machine-learning-course

Machine Learning Course for the Máster en Innovación Tecnológica. Madrid 2021. By Fernando Carazo

awsdesdecero

AWSDesdeCero: Una forma sencilla de iniciarte en la computación en la nube con Amazon Web Services desde cero.

Data-Science--Cheat-Sheet

Cheat Sheets

deepsf

Novel deep neural network to predict tumor transcriptomics from genomics.

DrugCell

A visible neural network model for drug response prediction

drughelper

R package to identify and correct drug names of the user's interest in order to easily work with drug screening. Drughelper is monthly updated with novel aproved drugs from the Chemble database of drug information.

jupyter-notebook-translator

Easily translate your Jupyter Notebooks from one language to another. It translates both Markdown and code comments.

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-deep-learning-es

SFprediction

A novel method to predict context-specific splicing factors based on the combination of CLIP experiments with transcriptomic data. Publication https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-019-5900-1

trading-bot-python

Mini project for retrieving stock info and use alpaca to simulate trading

transcriptachilles

The first large-scale tool that uses machine learning to predict transcript biomarkers of gene essentiality. Publication: https://academic.oup.com/gigascience/article/8/4/giz021/5426568

skforecast

Time series forecasting with scikit-learn models

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

end-to-end-ML_fake-news

Building a fake news detector from initial ideation to model deployment

Graph-Machine-Learning

Graph Machine Learning, published by Packt

Hands_on_ML_w_Scikit_Karas_and_TensorFlow

Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow 2nd Edition by Aurélien Géron

homlr

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Machine-Learning-Datasets

A collection of all the datasets that I have analyzed and various algorithms used for training.

network-science

pytorch_geometric

Graph Neural Network Library for PyTorch

streamlit_prophet

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.