Nixtla / nixtlar
R SDK for TimeGPT
☆34Updated last month
Alternatives and similar repositories for nixtlar:
Users that are interested in nixtlar are comparing it to the libraries listed below
- Shiny App for Echarts Viz, ML, Forecasting, Data Wrangling, Feature Engineering, Inference, and Code Generation☆62Updated 7 months ago
- The Tidymodels Extension for Time Series Boosting Models☆57Updated 2 years ago
- CRAN Task View: Time Series Analysis☆23Updated 2 weeks ago
- R implementation of Temporal Fusion Transformers☆27Updated 4 months ago
- That's weird: Anomaly detection using R☆42Updated 3 months ago
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆86Updated 2 years ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆25Updated 2 years ago
- NeuralProphet Algorithm in R for Tidymodels☆24Updated 3 years ago
- fable extension for the prophet forecasting procedure☆56Updated last year
- The Tidymodels Extension for Bayesian Models☆55Updated 2 years ago
- ☆48Updated 5 months ago
- Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…☆42Updated last year
- R interface to JDemetra+ v 2.x☆54Updated last month
- General fable features useful for extension packages☆91Updated 2 months ago
- 🔦 Easily Extracting Information About Your Data in R☆54Updated last year
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆43Updated last year
- ☆44Updated last month
- Cookbook to provide solutions to common tasks and problems in using Polars with R☆59Updated 11 months ago
- ☆16Updated last year
- Additional functions for model tuning☆62Updated 5 months ago
- This repository contains my entry for the Posit 2024 Table Contest.☆37Updated 4 months ago
- The set of functions used for time series analysis and in forecasting.☆90Updated this week
- e-Rum2020 program and materials☆57Updated 2 years ago
- Documents to plan and discuss future development☆37Updated 7 months ago
- ☆38Updated 4 years ago
- tidymodels code for Applied Predictive Modeling☆37Updated 4 years ago
- Machine learning explanations☆22Updated last week
- For my Why R? Turkey 2022 presentation☆22Updated 2 years ago
- Generate bootstrap prediction intervals from a tidymodels workflow!☆21Updated last year
- A high-performance R for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.☆22Updated this week