aldro61

pu-learning

Positive and unlabeled learning wrappers for scikit-learn

kover

Learn interpretable computational phenotyping models from k-merized genomic data

pyscm

pySCM: The Set Covering Machine in Python

patric_tools

Python package to interact with the PATRIC database (https://www.patricbrc.org)

microbiome-summer-school-2017

Introduction to Machine Learning

mmit

Regression trees for interval censored output data

kover2_paper

Interpretable genotype-to-phenotype models with rule-based classifiers

devtools_tutorial

Tutorial on software development tools

bnlearn

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

DAG-GNN

dag_with_no_tears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

eeml_causal_tutorial

Causal inference tutorial at the Eastern European Machine Learning Summer School

aldro61.github.io

Personal page

arxiv_watcher

My Personal Arxiv Radar

bcl2023

Bellairs 2023 workshop on causality and representation learning

colosse-tutorial

Configuring your environment and running jobs on the Colosse super computer @ Calcul Quebec

dna2vec

dna2vec: Consistent vector representations of variable-length k-mers

epilepsy-experiments

graphical_models

Implementations of common graphical models, utilities for creating random graphs, and sampling from graphical models.

kb_kover_amr

Antimicrobial resistance prediction app for KBase

kover-amr-platform

A web-based tool for visualizing predictive models of antimicrobial resistance

kover-tutorial-data

Data for Kover tutorials

mmit-data

The data used in the Maximum Margin Interval Trees paper

papers

Note for papers that I read

phyloreg-paper

randomscm

readthedocs.org

The source code that powers readthedocs.org

spacefish

🚀🐟 The fish shell prompt for astronauts

tkws

VFSForGit

Virtual File System for Git: Enable Git at Enterprise Scale