frankiethull / kantimeLinks
Bindings for Nixtla's neuralforecast Library in R, specifically KANs, to use with {modeltime} package. Nixtla's KAN is called from R via {reticulate}, which is then ported into {parsnip} and bridged to {modeltime}.
☆13Updated 4 months ago
Alternatives and similar repositories for kantime
Users that are interested in kantime are comparing it to the libraries listed below
Sorting:
- Time-series functionality based on nanotime and data.table☆15Updated 11 months ago
- R at Microsoft☆19Updated 4 years ago
- tidymodels extension package: binding specialty kernels & support vector machines to {parsnip}, {recipes}, and more!☆12Updated 4 months ago
- Machine learning explanations☆23Updated last month
- ggplot2 extension for seasonal and trading day adjustment with RJDemetra☆12Updated 5 months ago
- R implementation of advanced optimizers for torch☆26Updated 2 years ago
- Write events for TensorBoard☆11Updated last year
- Multivariate models for forecasting purposes☆12Updated 2 weeks ago
- R package to download Prof. Kenneth French data sets☆14Updated last year
- Autograph R for TensorFlow☆18Updated 2 years ago
- Forecasting for mlr3☆22Updated last year
- R package for fast rolling and expanding linear regression models☆22Updated 3 years ago
- getSymbols() reboot☆17Updated last year
- The Fast Kalman Filter (FKF) package for R☆13Updated last year
- Iterative Steps for Postprocessing Model Predictions☆16Updated 3 months ago
- Translates an R function into a to a C++ function which is callable from within R. The typical use case intended by 'ast2ast' are functio…☆35Updated this week
- [PROTOTYPE] R package: marshal - Framework to Marshal Objects to be Used in Another R Processes☆15Updated 7 months ago
- Tools for Measuring Predictor Importance☆17Updated last month
- Lightweight Machine Learning Classics with R (Book Draft)☆17Updated 3 years ago
- A terribly-simple data base for time series☆14Updated 8 months ago
- All data and functions needed for the book "That's weird: anomaly detection using R" by Rob J Hyndman <https://OTexts.com/weird>☆19Updated last month
- Friedman's H-statistics☆31Updated last month
- Ensemble forecasts with fable for NYCR conference☆16Updated 5 years ago
- ☆38Updated 4 years ago
- Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)☆26Updated 6 years ago
- Track machine learning experiments☆19Updated 2 years ago
- Template for using mlr3 with drake☆18Updated 3 years ago
- R implementation of Temporal Fusion Transformers☆34Updated last year
- Fast Effect Plots in R☆21Updated 2 months ago
- Personal Website☆12Updated last month