marcobmota8 Goto Github PK

adaptive-elastic-net

Adaptive Elastic-Net. Scikit-learn compatible.

appoyocontraelvirus.github.io

bmif6310

Protein-protein network analysis project

cml_data_tools

cml_data_tools_MBM

cmltool

deconvolution-algorithms-for-3d-quantitative-raman-microspectroscopy

Here are some of the machine learning algorithms, data augmentation and validation (cross-validation) Python scripts that I developed as part of my master thesis at The Stevens Lab @ Imperial College London Department of Bioengineering. The results will be soon publish in high impact journals, as well as a new algorithm that I developed and tested on real data acquired also as part of my masters

hardhats_website

This is the MVP for the Hard Hats society website.

intracellular-chips-quantification

Confocal microscopy image analysis algorithm for fluorescence nanochips quantification in cellular cultures.

joypy

Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:

marcobarberomota.github.io

marcobmota8

Config files for my GitHub profile.

model_calibration_tools

prefect_utils

This is a compilation of tools that I have found useful when deploying tasks and flows in prefect 2.0

roc_comparison

The fast version of DeLong's method for computing the covariance of unadjusted AUC.

semi-automatic-nanochip-quantification

Confocal microscopy image analysis algorithm for fluorescence nanochips automatic quantification.

shap

A game theoretic approach to explain the output of any machine learning model.