dMedinaO

Exploring machine learning strategies to create predictive models for protein engineering tasks.

Universidad de MagallanesPunta Arenas, Chile

Pinned Repositories

analisisSensibilidad
Language:MATLAB00
appLogistica
Language:HTML00
dev_Tes
Language:TeX00
DMAKit
Language:Python01
dmakitWeb
Language:HTML00
dmakitWebModel
Language:Python00
dolotoV2
Language:Perl00
MOSST
Language:MATLAB00
siru
Language:HTML00
trainingdataprotein
Language:Python00

dMedinaO's Repositories

dMedinaO/appLogistica
Language:HTML00
dMedinaO/dev_Tes
Language:TeX00
dMedinaO/dmakitWeb
Language:HTML00
dMedinaO/dmakitWebModel
Language:Python00
dMedinaO/dolotoV2
Language:Perl00
dMedinaO/trainingdataprotein
Language:Python00
dMedinaO/electivos_MachineLearning
Language:Python
dMedinaO/forest_fire_system
Language:JavaScript1
dMedinaO/homePageTO
Language:CSS
dMedinaO/hydrophobinProject
Language:Python
dMedinaO/hydrophobinsIdentification
Language:Python
dMedinaO/m2mutpro
Language:HTML
dMedinaO/MLSTrainingTool
Language:HTML
dMedinaO/nonlinearModels
Language:Python1
dMedinaO/peptideDB
Language:Python2
dMedinaO/peptidesPredictor
Language:Python1
dMedinaO/pesb2HomePage
Language:HTML2 0
dMedinaO/pi5p4k-2B_data_files
dMedinaO/productivityPeptidePredictor
dMedinaO/python_course
Language:Python
dMedinaO/recursiveBinaryCurves
Language:Python
dMedinaO/sciathon_lindau2023
Implemented scripts to develop initial classification models for binding affinity properties sciathon Lindau 2023
Language:Jupyter Notebook
dMedinaO/serviciosruta5
Language:CSS
dMedinaO/ShortTimeSeriesClustering
Language:HTML2 0
dMedinaO/sistema_partes
Language:HTML2 0
dMedinaO/testingTensorFlow
2 0
dMedinaO/toexpressFull
Language:HTML
dMedinaO/track_logistic_TOE
Language:HTML2 0
dMedinaO/trackLaboratory
Language:HTML2 0
dMedinaO/webPESB2
Language:HTML