📚 A place for all supplementary materials like slides, homework assignments etc.

Introduction to Computer Science (Code.org in Python)

Sample code implementation for SIADS paper Data driven discovery of closure model

StarAI Workshop 2020 - srlearn: A Python Library for Gradient-Boosted Statistical Relational Models

Download papers and other supplementals from ICCV2017/CVPR2017 in fast and wisely-organized way

Supplementary information associated with Besson et al. (2019) ECDP 2019

COVID19 Case Report Form Analysis - data and collection forms.

Code and materials to reproduce graphics in "A generalized additive model approach to time-to-event analysis"

force field

Supplementary information for analyses reported in Hobbs et al. (2023), for presenting the software package `cazy_webscraper`

Technical Supplement of Research Work

This folder contains files and code specific to individual papers, that allow reproduction of the results of a paper. Additional toolboxes, functions, or solvers published by other groups might be required. Each paper has a dedicated subfolder following the convention Year_ShortTitle.

Supplemental material for paper "Current challenges in multilayer network engineering": Experiment scripts

This repository contains the scripts developed and used for the thesis labeled "Caracterización de variantes genéticas y frecuencias alélicas vinculadas a hiperlipidemias a partir de genomas costarricenses" and iterations of it. The scripts stored in the variant_call_workflow were developed to simplify the process of writing scripts to process g…

Graph-Based Machine Learning Estimation Methods for Multilayer Network Optimization -- Materials

Supplementary information for Chapter 5 of "Molecular Mechanisms of Phenotypic Variation in Honey Bees" - a dissertation in Molecular, Cellular, and Integrative Biosciences by Sean T. Bresnahan

Supplemental Materials for the "Comparing Apples and Oranges" paper

Supplemental information for the bioRxiv preprint on promor

Technical Supplement of Research Work