mlr3 and mlr3torch

mlr3torch is a specialized extension package that adds deep learning capabilities via PyTorch to mlr3's unified machine learning framework, making them complements designed to be used together rather than alternatives.

mlr3
62
Established
mlr3torch
49
Emerging
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 15/25
Stars: 1,060
Forks: 96
Downloads:
Commits (30d): 9
Language: R
License: LGPL-3.0
Stars: 55
Forks: 9
Downloads:
Commits (30d): 0
Language: R
License:
No Package No Dependents
No Package No Dependents

About mlr3

mlr-org/mlr3

mlr3: Machine Learning in R - next generation

This tool helps data scientists and analysts in R build and evaluate machine learning models for classification, regression, and survival analysis. You provide your dataset, and it helps you train models and understand how well they perform. This is for R users who need to conduct rigorous machine learning experiments.

data-science predictive-modeling statistical-analysis machine-learning-workflow model-evaluation

About mlr3torch

mlr-org/mlr3torch

Deep learning framework for the mlr3 ecosystem based on torch

This tool helps data scientists and machine learning engineers working in R to build, train, and evaluate deep learning models more easily. It takes various types of data, including tabular and image data (as 'lazy_tensors'), and outputs trained deep learning models ready for making predictions. This is for professionals who need to apply deep learning in R without getting bogged down in low-level details.

deep-learning machine-learning data-science predictive-modeling r-programming

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