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

5 / 5 papers shown
Title
A knowledge-driven AutoML architecture
A knowledge-driven AutoML architecture
C. Cofaru
Johan Loeckx
16
0
0
28 Nov 2023
Explaining Black-Box Models through Counterfactuals
Explaining Black-Box Models through Counterfactuals
Patrick Altmeyer
A. V. Deursen
Cynthia C. S. Liem
CML
LRM
21
2
0
14 Aug 2023
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia
  programming language
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language
David Muhr
M. Affenzeller
Anthony D. Blaom
10
3
0
08 Nov 2022
EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering
  Algorithm in Julia
EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia
Pawel Renc
Patryk Orzechowski
A. Byrski
Jarosław Wąs
J. Moore
17
4
0
03 May 2021
Foundations of Bayesian Learning from Synthetic Data
Foundations of Bayesian Learning from Synthetic Data
H. Wilde
Jack Jewson
Sebastian J. Vollmer
Chris Holmes
17
15
0
16 Nov 2020
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