EagerAI / kerastuneRLinks
R interface to Keras Tuner
☆34Updated last year
Alternatives and similar repositories for kerastuneR
Users that are interested in kerastuneR are comparing it to the libraries listed below
Sorting:
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆58Updated last year
- R interface to TensorFlow 2.x SIG-Addons☆20Updated last year
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Composable Preprocessing Operators for MLR☆37Updated 2 months ago
- Visualizations for mlr3☆45Updated this week
- Cluster analysis for mlr3☆25Updated 2 weeks ago
- Case studies using mlr3☆22Updated 2 years ago
- Successive Halving and Hyperband in the mlr3 ecosystem☆18Updated last month
- Deep learning for mlr3☆36Updated 3 years ago
- Honest calibration assessment for binary outcome predictions☆11Updated 3 years ago
- Filter-based feature selection for mlr3☆20Updated 2 weeks ago
- Automated Feature Selection☆65Updated 6 years ago
- PyTorch bindings for R☆76Updated 3 years ago
- ParamHelpers Next Generation☆28Updated last week
- R interface to TensorFlow Hub☆29Updated 2 years ago
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- C++ implementation and R API for componentwise boosting☆23Updated 2 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- Implement the rquery piped query algebra in R using data.table. Distributed under choice of GPL-2 or GPL-3 license.☆38Updated 2 years ago
- R Bindings to the Certifiably Optimal Rule Lists (Corels) Learner☆48Updated 8 months ago
- sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spat…☆37Updated 2 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated last year
- R Package for Reinforcement Learning☆34Updated 2 years ago
- Quantify extrapolation of new samples given a training set☆47Updated last year
- e-Rum2020 CovidR Contest☆19Updated 2 years ago
- recommendations for creating R modeling packages☆41Updated 3 years ago
- Evaluation of Methods for dealing with Missing data in Machine Learning algorithms☆23Updated 4 years ago
- Explain black box with GLM☆23Updated 5 years ago
- An R Package to Visualize Neural Network Architectures☆38Updated 6 years ago
- Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)☆26Updated 5 years ago