aldro61 Goto Github PK

aldro61.github.io

Personal page

antibiotic-resistance-notes

Notes about antibiotic resistance

arxiv_watcher

My Personal Arxiv Radar

bcl2023

Bellairs 2023 workshop on causality and representation learning

bnlearn

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

colosse-tutorial

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

coveo-blitz-2013

dag-gnn

dag_with_no_tears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

devtools_tutorial

Tutorial on software development tools

distributed_crawler

dna2vec

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

documentation-theme-jekyll

A Jekyll-based theme designed for documentation and help systems.

eeml_causal_tutorial

Causal inference tutorial at the Eastern European Machine Learning Summer School

epilepsy-experiments

graphical_models

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

in-place-transpose

In-place transposition of rectangular matrices

kb_kover_amr

Antimicrobial resistance prediction app for KBase

kover

Learn interpretable computational phenotyping models from k-merized genomic data

kover-amr-platform

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

kover-tutorial-data

Data for Kover tutorials

kover2_paper

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

microbiome-summer-school-2017

Introduction to Machine Learning

mmit

Regression trees for interval censored output data

mmit-data

The data used in the Maximum Margin Interval Trees paper

mmit-slides

Presentation slides for Maximum Margin Interval Trees

netmhciipan2-data

NetMHCIIpan-2.0 Dataset Downloader

papers

Note for papers that I read

patric_tools

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

phyloreg-paper