pcallec

analyze_images

Libraries with useful function to get statistics of data like shape and renaming file names.

APM_Exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

Applied-Predictive-Modeling-with-Python

A collection of notebook to learn the Applied Predictive Modeling using Python.

AppliedPredictiveModeling

:exclamation: This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictive Modeling'. Homepage: http://appliedpredictivemodeling.com/

Endoscopic_OCT_Epidural

Code used for the paper "Epidural anesthesia needle guidance by forward-view endoscopic optical coherence tomography and deep learning""

FOCT_kidney

Code for the paper: "Deep-learning-aided forward optical coherence tomography endoscope for percutaneous nephrostomy guidance"

smoking_cessation_intervention_messages

Scripts for paper "Towards AI-Driven Healthcare: Systematic Optimization, Linguistic Analysis, and Clinicians’ Evaluation of Large Language Models for Smoking Cessation Interventions"

Supercomputing_Instructions

Useful information to use the supercomputers

pcallec/analyze_images

Libraries with useful function to get statistics of data like shape and renaming file names.

pcallec/APM_Exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

pcallec/Applied-Predictive-Modeling-with-Python

A collection of notebook to learn the Applied Predictive Modeling using Python.

pcallec/AppliedPredictiveModeling

:exclamation: This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictive Modeling'. Homepage: http://appliedpredictivemodeling.com/

pcallec/BAP

Bayesian Analysis with Python (Second Edition)

pcallec/Bayes_Computing_Course

pcallec/Bios8366

Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics

pcallec/pcallec.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

pcallec/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)