Nixtla / nixtlaLinks
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 capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code π.
β2,768Updated this week
Alternatives and similar repositories for nixtla
Users that are interested in nixtla are comparing it to the libraries listed below
Sorting:
- Scalable and user friendly neural forecasting algorithms.β3,540Updated this week
- Unified Training of Universal Time Series Forecasting Transformersβ1,148Updated 2 months ago
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecastingβ1,441Updated 3 weeks ago
- Scalable machine π€ learning for time series forecasting.β1,027Updated 2 months ago
- Lightning β‘οΈ fast forecasting with statistical and econometric models.β4,382Updated 3 weeks ago
- TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecastβ¦β4,740Updated last week
- Chronos: Pretrained Models for Probabilistic Time Series Forecastingβ3,314Updated this week
- Automated Time Series Forecastingβ1,283Updated last month
- Foundation Models for Time Seriesβ592Updated this week
- β778Updated 9 months ago
- Merlion: A Machine Learning Framework for Time Series Intelligenceβ4,296Updated 11 months ago
- [ICLR 2024] Official implementation of " π¦ Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"β2,031Updated 6 months ago
- Probabilistic Hierarchical forecasting π with statistical and econometric methods.β664Updated 3 weeks ago
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24β535Updated last week
- A toolkit for machine learning from time seriesβ1,176Updated this week
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).β2,189Updated last week
- Time series forecasting with PyTorchβ4,311Updated this week
- Time series forecasting with machine learning modelsβ1,323Updated this week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.β1,108Updated 11 months ago
- Collection of notebooks for time series analysisβ401Updated this week
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.β2,765Updated 9 months ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series anβ¦β5,640Updated 2 months ago
- Resources about time series forecasting and deep learning.β665Updated this week
- Large Language & Foundation Models for Time Series.β515Updated 10 months ago
- A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.β1,082Updated 5 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arβ¦β1,971Updated 9 months ago
- Deep learning kit for time series analysis, supports forecasting, anomaly detection, classification, imputation, and clustering tasks on β¦β1,452Updated last week
- Resources for working with time series and sequence dataβ596Updated 4 months ago
- Probabilistic time series modeling in Pythonβ4,897Updated last month
- A comprehensive survey on the time series domainsβ529Updated last year