MLJ: A Julia package for composable machine learning

MLJ: A Julia package for composable machine learning

23 July 2020

Anthony D. Blaom

Franz J. Király

Thibaut Lienart

Yiannis Simillides

Diego Arenas

Sebastian J. Vollmer

Papers citing "MLJ: A Julia package for composable machine learning"

8 / 8 papers shown

Title
A knowledge-driven AutoML architecture C. Cofaru Johan Loeckx 23 0 0 28 Nov 2023
Explaining Black-Box Models through Counterfactuals Patrick Altmeyer A. V. Deursen Cynthia C. S. Liem CML LRM 34 2 0 14 Aug 2023
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language David Muhr M. Affenzeller Anthony D. Blaom 27 3 0 08 Nov 2022
A Review of Open Source Software Tools for Time Series Analysis Yunus Parvej Faniband I. Ishak S. M. Sait AI4TS 19 6 0 10 Mar 2022
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 62 77 0 05 Aug 2021
EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia Pawel Renc Patryk Orzechowski A. Byrski Jarosław Wąs J. Moore 24 4 0 03 May 2021
GeCo: Quality Counterfactual Explanations in Real Time Maximilian Schleich Zixuan Geng Yihong Zhang D. Suciu 46 61 0 05 Jan 2021
Foundations of Bayesian Learning from Synthetic Data H. Wilde Jack Jewson Sebastian J. Vollmer Chris Holmes 17 15 0 16 Nov 2020