Nixtla / neuralforecastLinks
Scalable and user friendly neural forecasting algorithms.
☆3,790Updated last 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 PyTorch☆4,610Updated this week
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,244Updated last week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,541Updated last week
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆2,964Updated last week
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,837Updated last week
- Scalable machine 🤖 learning for time series forecasting.☆1,076Updated last week
- Probabilistic time series modeling in Python☆5,038Updated 2 months ago
- Automated Time Series Forecasting☆1,329Updated this week
- Unified Training of Universal Time Series Forecasting Transformers☆1,289Updated 2 months ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,833Updated 2 months ago
- PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend☆1,338Updated last year
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,496Updated 4 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,226Updated last year
- Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal …☆868Updated last year
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.☆2,896Updated last year
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆894Updated 2 years ago
- A python library for user-friendly forecasting and anomaly detection on time series.☆8,957Updated last week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆702Updated last week
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,331Updated last year
- Resources about time series forecasting and deep learning.☆726Updated last week
- Foundation Models for Time Series☆711Updated last week
- List of papers, code and experiments using deep learning for time series forecasting☆2,745Updated last year
- list of papers, code, and other resources☆1,024Updated 2 months ago
- About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), ht…☆2,300Updated 7 months ago
- NeuralProphet: A simple forecasting package☆4,184Updated 9 months ago
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆1,832Updated 3 months ago
- N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …☆588Updated 3 years ago
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.☆1,534Updated last year
- Chronos: Pretrained Models for Probabilistic Time Series Forecasting☆3,741Updated last month
- A comprehensive survey on the time series domains☆538Updated last year