Hyperparameter optimization package of the mlr3 ecosystem
☆60Apr 10, 2026Updated last week
Alternatives and similar repositories for mlr3tuning
Users that are interested in mlr3tuning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Filter-based feature selection for mlr3☆21Updated this week
- Performance measures used in mlr3☆14Feb 18, 2026Updated 2 months ago
- ParamHelpers Next Generation☆28Updated this week
- Recommended learners for mlr3☆98Apr 10, 2026Updated last week
- Data Backends to let mlr3 work transparently with (remote) data bases☆23Apr 10, 2026Updated last week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Flexible Bayesian Optimization in R☆26Apr 10, 2026Updated last week
- Miscellaneous helper functions for mlr3☆14Apr 11, 2026Updated last week
- Cluster analysis for mlr3☆26Updated this week
- Successive Halving and Hyperband in the mlr3 ecosystem☆19Apr 10, 2026Updated last week
- Dataflow Programming for Machine Learning in R☆150Updated this week
- Visualizations for mlr3☆46Apr 10, 2026Updated last week
- Extra learners for use in mlr3.☆115Updated this week
- Deep learning for mlr3☆39Apr 7, 2022Updated 4 years ago
- Composable Preprocessing Operators for MLR☆37Jun 17, 2025Updated 10 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- C++ implementation and R API for componentwise boosting☆23Mar 29, 2023Updated 3 years ago
- Black-box optimization framework for R.☆26Apr 10, 2026Updated last week
- Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Pres…☆280Apr 7, 2026Updated last week
- Probabilistic Learning for mlr3☆148Feb 23, 2026Updated last month
- Forecasting for mlr3☆22Aug 16, 2024Updated last year
- Case studies using mlr3☆22Nov 8, 2022Updated 3 years ago
- Write events for TensorBoard☆12Jun 27, 2024Updated last year
- Feature selection package of the mlr3 ecosystem.☆39Apr 10, 2026Updated last week
- mlr3: Machine Learning in R - next generation☆1,066Apr 10, 2026Updated last week
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Meta-package for installing/updating mlr3* packages.☆63Apr 10, 2026Updated last week
- a faster arff parser☆13May 10, 2021Updated 4 years ago
- R implementation of advanced optimizers for torch☆26Jun 8, 2023Updated 2 years ago
- Spatiotemporal resampling methods for mlr3☆56Mar 11, 2026Updated last month
- Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)☆26Sep 9, 2019Updated 6 years ago
- Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem☆14Aug 16, 2025Updated 8 months ago
- mlr3 extension for Fairness in Machine Learning☆16Jun 24, 2025Updated 9 months ago
- Feature Extraction from Grouped Data. Tutorial:☆23Jun 5, 2020Updated 5 years ago
- Deep learning framework for the mlr3 ecosystem based on torch☆56Mar 3, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆14Jun 11, 2018Updated 7 years ago
- R6 object-oriented interface for mathematical sets.☆14Sep 29, 2023Updated 2 years ago
- ☆20Jan 21, 2026Updated 2 months ago
- Flexible Mixed Integer Evolutionary Strategies☆16Mar 19, 2025Updated last year
- R tools for the command line☆65Dec 3, 2020Updated 5 years ago
- iml: interpretable machine learning R package☆503Feb 24, 2025Updated last year
- ☆18Jan 9, 2026Updated 3 months ago