loucerac

loucerac

Geek Repo

Github PK Tool:Github PK Tool


Organizations
babelomics

loucerac's repositories

drexml

(DRExM³L) Drug REpurposing using eXplainable Machine Learning and Mechanistic Models of signal transduction

Language:PythonLicense:MITStargazers:5Issues:2Issues:1

bioconda-recipes

Conda recipes for the bioconda channel.

Language:ShellStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

book_notebooks_spanish

Notebooks associated to the book (Spanish translation)

License:GPL-3.0Stargazers:0Issues:0Issues:0
Language:TeXLicense:CC0-1.0Stargazers:0Issues:0Issues:0
Language:RLicense:MITStargazers:0Issues:0Issues:0

DualAAE-EHR

Dual Adversarial Autoencoder for Generating Set-valued Sequences

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

geometric_ml

This repository contains code for applying Riemannian geometry in machine learning.

Stargazers:0Issues:0Issues:0

GIN

Graph Intervention Networks (GIN) (NeurIPS 2021)

Language:PythonStargazers:0Issues:0Issues:0

High-Dimensional-Model-Explanations-An-Axiomatic-Approach

Complex black-box machine learning models are regularly used in critical decision-making domains. This has given rise to several calls for algorithmic explainability. Many explanation algorithms proposed in literature assign importance to each feature individually. However, such explanations fail to capture the joint effects of sets of features. Indeed, few works so far formally analyze high dimensional model explanations. In this paper, we propose a novel high dimension model explanation method that captures the joint effect of feature subsets. We propose a new axiomatization for a generalization of the Banzhaf index; our method can also be thought of as an approximation of a black-box model by a higher-order polynomial. In other words, this work justifies the use of the generalized Banzhaf index as a model explanation by showing that it uniquely satisfies a set of natural desiderata and that it is the optimal local approximation of a black-box model. Our empirical evaluation of our measure highlights how it manages to capture desirable behavior, whereas other measures that do not satisfy our axioms behave in an unpredictable manner.

Stargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0

malmstin

Unveiling the Druggable Landscape: A Multimodal Approach (MALMSTIN)

Language:MakefileLicense:MITStargazers:0Issues:0Issues:0

maqc_2022

MAQC 2022 slides

Language:TeXStargazers:0Issues:0Issues:0

numpy-ml

Machine learning, in numpy

License:GPL-3.0Stargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0

PSO-FTS

MATLAB Implementation of "Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques"

Stargazers:0Issues:0Issues:0

pybel

A pure Python package for parsing, validating, compiling, and converting biological knowledge graphs encoded in BEL

License:MITStargazers:0Issues:0Issues:0

pykan

Kolmogorov Arnold Networks

License:MITStargazers:0Issues:0Issues:0

rapids-single-cell-examples

Examples of single-cell genomic analysis accelerated with RAPIDS

License:Apache-2.0Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

scibet

A portable and fast single cell type identifier

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

scMatch

scMatch: a single-cell gene expression profile annotation tool using reference datasets

License:MITStargazers:0Issues:0Issues:0

SCSA

SCSA: cell type annotation for single-cell RNA-seq data

License:GPL-3.0Stargazers:0Issues:0Issues:0

segment-anything-webui

Yet another SAM webui + CLIP

Stargazers:0Issues:0Issues:0

shap

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

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:HiveQLStargazers:0Issues:0Issues:0

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

TeachingDataScience

Course notes for Data Science related topics, prepared in LaTeX

License:MITStargazers:0Issues:0Issues:0

TumorType-WGS

Classifying tumor types based on Whole Genome Sequencing (WGS) data

License:Apache-2.0Stargazers:0Issues:0Issues:0