mlr-org / mlr3torchLinks
Deep learning framework for the mlr3 ecosystem based on torch
☆55Updated last week
Alternatives and similar repositories for mlr3torch
Users that are interested in mlr3torch are comparing it to the libraries listed below
Sorting:
- Deep Learning and Scientific Computing with R torch☆62Updated last year
- Higher Level API for torch☆97Updated last month
- Recipes Steps for Supervised Filter-Based Feature Selection☆50Updated last year
- High-Level Modeling Functions with 'torch'☆74Updated last month
- Flexible Bayesian Optimization in R☆26Updated this week
- Extra learners for use in mlr3.☆108Updated this week
- Auto ML for the tidyverse☆70Updated last month
- Additional recipes for supervised feature selection to be used with the tidymodels recipes package☆54Updated 3 years ago
- An R implementation of TabNet☆114Updated 3 months ago
- Deep learning for mlr3☆37Updated 3 years ago
- Visualizations for mlr3☆45Updated last week
- Performance measures used in mlr3☆13Updated 3 weeks ago
- An R package for extracting results from mixed models that are easy to use and viable for presentation.☆70Updated 3 years ago
- ParamHelpers Next Generation☆28Updated 3 weeks ago
- Documents to plan and discuss future development☆37Updated last year
- Clean, wholesome, tidy fun with functional data in R☆36Updated 3 weeks ago
- Create tidy probability/density tibbles and plots of randomly generated and empirical data.☆35Updated last week
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆86Updated 3 years ago
- A Shiny App for Making Hex Stickers.☆113Updated 2 years ago
- nplyr: a grammar of (nested) data manipulation☆122Updated 2 months ago
- A high-performance R for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.☆27Updated 5 months ago
- Accelerated Oblique Random Survival Forests☆59Updated last week
- Regulatory Tables for Clinical Research☆40Updated 2 weeks ago
- shinyML is a R package that use h2o and Spark frameworks to easily compare supervised machine learning models on regression or classific…☆60Updated 4 years ago
- Interpretability methods to analyze the behavior and individual predictions of modern neural networks in R.☆31Updated 8 months ago
- Meta-package for installing/updating mlr3* packages.☆61Updated 11 months ago
- parsnip wrappers for tree-based models☆53Updated 3 weeks ago
- A tidy unified interface to clustering models☆112Updated last month
- A distributed worker launcher☆147Updated last month
- Quantify extrapolation of new samples given a training set☆47Updated last month