Joel Ricci-López's repositories
ML-ensemble-docking
Improving Structure-Based Virtual Screening with Ensemble Docking and Machine Learning
my-obsidian-digital-garden
My digital garden 🌿. A personal Wiki to keep notes related to Machine Learning and Data Science.
MD_namd_python
Molecular Dynamics with namd2 and python
covid_mexico_tracker
A Shinny App for tracking COVID-19 cases in Mexico 🇲🇽 . Developed using R, Plotly, Leaflet, and Shinny.
curso_introduccion_a_R
Curso de introducción a R
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
ML_and_DataScience_projects
Un conjunto de proyectos de Machine Learning y Deep Learning (con contenido en español) que ido implementado durante mi aprendizaje.
Poster-ProteinsCNN-webApp
Interactive web app developed using dash and python. Deployed on Heroku.
Bertelsmann-AI-track-notes
A simple repo to upload my notes from the Bertelsmann AI track, Udacity.
biologia_y_quimica_basica
Página de ejercicios de Biología y Química básica. En proceso de refactorización y actualización.
cdk2_md_gromacs
Prepare and analyze MD simulations using python, biobb, AmberTools, and GROMACS.
Dash_app_Heroku_ML_Docking_Scores
A Dash/plotly app deployed on heroku. Combines different plots and visualization to explore Machine Learning model performances.
E6_HPV_protein_data_analysis
Protocolos usados en la Tesis de Maestría (2017)
EDA-Transcriptomic
It is a exploratory data analysis (EDA) dashboard than can be used at leats with an DESeqDataSet class objects and csv metadata
FXa-notebooks
Notebook to Analyze Ensemble Docking Protocols over FXa protein
geometry_analysis
A sample package for the MolSSI software summer school
learning_emotions_with_emojis
Predict human emotions in tweets by mapping emojis into the Valence-Arousal space (Russell, 2005). LSTM models the sequence learning of words within the tweets.
Mexico-COVID-19
Base de datos de los casos de COVID-19 reportados en México. Database of the cases of COVID-19 reported in Mexico.
python-guide
Python best practices guidebook, written for humans.
python-package-best-practices
https://molssi-education.github.io/python-package-best-practices/
qvina
Accurately speed up AutoDock Vina
scikit-chem
A high level cheminformatics package for the Scientific Python stack, built on RDKit.
shiny_app_consensus_ml_scorings
This a shiny app to show and compare results from Consensus and ML docking scores.
Taller_Simulacion_Molecular
Taller de docking molecular y dinámica molecular
Udacity_ML_with_Tensorflow_Nanodegree
GitHub repository with the solved projects from the "Introduction to Machine Learning with Tensorflow" Nanodegree program