Forecasting with Gradient Boosted Time Series Decomposition
☆199Jan 11, 2026Updated 5 months ago
Alternatives and similar repositories for ThymeBoost
Users that are interested in ThymeBoost are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Wrapper around MLForecast for more plug and play forecasting☆10Oct 23, 2023Updated 2 years ago
- Time Series Forecasting with LightGBM☆87Sep 9, 2022Updated 3 years ago
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- Hierarchical Time Series Forecasting with a familiar API☆225May 12, 2023Updated 3 years ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆750Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆23Apr 20, 2022Updated 4 years ago
- Fast window operations☆45Jun 2, 2024Updated 2 years ago
- implementation of Cyclic Boosting machine learning algorithms☆96Sep 2, 2024Updated last year
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆30Mar 23, 2023Updated 3 years ago
- Bayesian Structural Time Series / Unobserved Components☆34Dec 29, 2025Updated 6 months ago
- Predict time-series with one line of code.☆436Jun 26, 2026Updated last week
- This repo houses my VN1 Forecasting Notebook for Phase One.☆19Oct 30, 2024Updated last year
- ☆114Feb 18, 2024Updated 2 years ago
- Forecasting with Hyper-Trees☆30Jun 12, 2026Updated 3 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆449Apr 23, 2024Updated 2 years ago
- Time should be taken seer-iously☆320Mar 17, 2023Updated 3 years ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,828Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,241Updated this week
- ☆155May 15, 2021Updated 5 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆658Feb 19, 2024Updated 2 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆389Jul 19, 2024Updated last year
- Hierarchical Forecasting at Scale☆16Mar 18, 2024Updated 2 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆584Jun 8, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- An extension of LightGBM to probabilistic modelling☆388Jun 1, 2026Updated last month
- a catch-all repo☆11Dec 28, 2023Updated 2 years ago
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆460Jun 26, 2026Updated last week
- The practitioner's forecasting library☆351Jun 10, 2026Updated 3 weeks ago
- Python package for conformal prediction☆579Jun 12, 2026Updated 3 weeks ago
- ☆26Jan 9, 2026Updated 6 months ago
- A python library for time-series smoothing and outlier detection in a vectorized way.☆770Nov 23, 2023Updated 2 years ago
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆20Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Scalable and user friendly neural forecasting algorithms.☆4,188Updated this week
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17May 20, 2025Updated last year
- This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…☆13Dec 7, 2023Updated 2 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,886Jul 1, 2026Updated last week
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆672Apr 19, 2023Updated 3 years ago
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,450Updated this week
- Fast implementations of common forecasting routines☆42Jun 22, 2026Updated 2 weeks ago