Time Series Forecasting with LightGBM
☆87Sep 9, 2022Updated 3 years ago
Alternatives and similar repositories for LazyProphet
Users that are interested in LazyProphet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- Wrapper around MLForecast for more plug and play forecasting☆10Oct 23, 2023Updated 2 years ago
- Optuna + LightGBM = OptGBM☆35Jul 10, 2022Updated 3 years ago
- ☆10Oct 15, 2019Updated 6 years ago
- A python package for time series forecasting with scikit-learn estimators.☆162Apr 4, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Using probabilistic programming to infer player ratings from matchup data.☆15Nov 16, 2020Updated 5 years ago
- An extension of LightGBM to probabilistic modelling☆382Mar 18, 2026Updated last month
- Hierarchical Time Series Forecasting with a familiar API☆227May 12, 2023Updated 2 years ago
- ☆21Jun 17, 2025Updated 10 months ago
- Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet☆26Dec 5, 2024Updated last year
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- Probabilistic Gradient Boosting Machines☆161Feb 8, 2024Updated 2 years ago
- A machine learning pipeline that ingest and process a 20-year historical stock price dataset and try to predict future prices using Light…☆17Nov 20, 2020Updated 5 years ago
- Instance-based uncertainty estimation for gradient-boosted regression trees☆34Jul 25, 2024Updated last year
- 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.
- Time series forecasting with tree ensembles☆13Sep 5, 2021Updated 4 years ago
- Implementation of various Machine learning and MLOps applications/tutorials used within my Medium blog.☆11Jan 28, 2023Updated 3 years ago
- Hybrid ES-RNN models for time series forecasting☆19May 14, 2021Updated 4 years ago
- Crypto & Stock* price prediction with regression models.☆14Mar 13, 2026Updated last month
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆27May 15, 2020Updated 5 years ago
- TrueSkill Through Time: the Julia, Python and R packages.☆26Feb 3, 2025Updated last year
- Nested Cross-Validation for Bayesian Optimized Gradient Boosting☆20Apr 7, 2020Updated 6 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆389Jul 19, 2024Updated last year
- Probabilistic prediction with XGBoost.☆121Mar 22, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.☆287Apr 17, 2025Updated last year
- Distributional Gradient Boosting Machines☆28Dec 13, 2022Updated 3 years ago
- ☆21Feb 5, 2020Updated 6 years ago
- Time based splits for cross validation☆40Updated this week
- A curated list of ML awesome frameworks & libraries for text data☆17Mar 14, 2023Updated 3 years ago
- SciKIt-learn Pipeline in PAndas☆42Aug 18, 2023Updated 2 years ago
- Automated Time Series Forecasting☆1,397Apr 24, 2026Updated 2 weeks ago
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆596Aug 2, 2024Updated last year
- Distributional Random Forests (Cevid et al., 2020)☆45Jan 22, 2026Updated 3 months ago
- 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.
- 基于数据驱动的锂电池SOH估计和RUL 预测☆19Nov 4, 2023Updated 2 years ago
- ☆23Mar 5, 2025Updated last year
- Python Kalman filters vectorized as Single Instruction, Multiple Data☆191Dec 16, 2023Updated 2 years ago
- Forecasting with Hyper-Trees☆21Aug 8, 2025Updated 9 months ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Aug 5, 2022Updated 3 years ago
- AI Starter Kit for demand forecasting using Intel® Optimized Tensorflow*☆10May 8, 2024Updated 2 years ago
- Telescope is a hybrid multi-step-ahead forecasting approach based on time series decomposition.☆11Oct 18, 2021Updated 4 years ago