Nixtla / neuralforecastLinks
Scalable and user friendly neural forecasting algorithms.
β3,579Updated this week
Alternatives and similar repositories for neuralforecast
Users that are interested in neuralforecast are comparing it to the libraries listed below
Sorting:
- Time series forecasting with PyTorchβ4,336Updated this week
- Scalable machine π€ learning for time series forecasting.β1,032Updated 2 months ago
- Lightning β‘οΈ fast forecasting with statistical and econometric models.β4,406Updated last month
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transfβ¦β2,794Updated last week
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).β2,200Updated last week
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arβ¦β2,010Updated 10 months ago
- Probabilistic time series modeling in Pythonβ4,921Updated 3 weeks ago
- Unified Training of Universal Time Series Forecasting Transformersβ1,168Updated 2 months ago
- Probabilistic Hierarchical forecasting π with statistical and econometric methods.β670Updated last week
- Automated Time Series Forecastingβ1,287Updated this week
- PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backendβ1,317Updated last year
- list of papers, code, and other resourcesβ992Updated 11 months ago
- Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal β¦β853Updated last year
- List of papers, code and experiments using deep learning for time series forecastingβ2,714Updated last year
- A python library for user-friendly forecasting and anomaly detection on time series.β8,691Updated this week
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series anβ¦β5,681Updated 3 months ago
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.β884Updated 2 years ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.β2,792Updated 10 months ago
- Resources about time series forecasting and deep learning.β670Updated this week
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecastingβ1,450Updated 2 weeks ago
- N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started β¦β559Updated 2 years ago
- Chronos: Pretrained Models for Probabilistic Time Series Forecastingβ3,372Updated 3 weeks ago
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"β2,244Updated last year
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https:β¦β1,669Updated 3 weeks ago
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neurβ¦β1,508Updated 3 weeks ago
- About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), htβ¦β2,198Updated 3 months ago
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.β1,439Updated last year
- A comprehensive survey on the time series domainsβ534Updated last year
- The machine learning toolkit for time series analysis in Pythonβ2,996Updated this week
- β782Updated 9 months ago