Statistics for topic forecasting
RepositoryStats tracks 518,325 Github repositories, of these 170 are tagged with the forecasting topic. The most common primary language for repositories using this topic is Python (91). Other languages include: Jupyter Notebook (31), R (19)
Stargazers over time for topic forecasting
Most starred repositories for topic forecasting (view more)
Trending repositories for topic forecasting (view more)
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Unified Training of Universal Time Series Forecasting Transformers
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's ca...
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Unified Training of Universal Time Series Forecasting Transformers
Android app to forecast the output of your photovoltaic system (PV) or balcony pv using data from Open-Meteo.com. Even shading and the temperature coefficient are taken into account.
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Code repository for the online course "Feature Engineering for Time Series Forecasting".
A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science analysis tasks of im...
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's ca...
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Unified Training of Universal Time Series Forecasting Transformers
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
Unified Training of Universal Time Series Forecasting Transformers
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's ca...
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Time series forecasting with scikit-learn models
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's ca...
A python library for user-friendly forecasting and anomaly detection on time series.
Scalable and user friendly neural :brain: forecasting algorithms.
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Unified Training of Universal Time Series Forecasting Transformers
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's ca...
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
Unified Training of Universal Time Series Forecasting Transformers
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
