Nixtla / neuralforecast
Scalable and user friendly neural forecasting algorithms.
☆3,441Updated this week
Alternatives and similar repositories for neuralforecast:
Users that are interested in neuralforecast are comparing it to the libraries listed below
- Time series forecasting with PyTorch☆4,239Updated 2 weeks ago
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,163Updated 2 weeks ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,239Updated 2 weeks ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆1,888Updated 8 months ago
- Automated Time Series Forecasting☆1,267Updated 2 weeks ago
- Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal …☆844Updated last year
- PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend☆1,305Updated 10 months ago
- Scalable machine 🤖 learning for time series forecasting.☆1,008Updated 2 weeks ago
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆2,678Updated this week
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,554Updated last month
- About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), ht…☆2,122Updated last month
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.☆2,719Updated 8 months ago
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,174Updated last year
- Unified Training of Universal Time Series Forecasting Transformers☆1,099Updated 3 weeks ago
- Probabilistic time series modeling in Python☆4,839Updated last week
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,365Updated this week
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,414Updated 2 months ago
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https:…☆1,581Updated last month
- N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …☆539Updated 2 years ago
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆878Updated 2 years ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆645Updated this week
- [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"☆1,940Updated 5 months ago
- Resources about time series forecasting and deep learning.☆642Updated last week
- ☆760Updated 7 months ago
- Collection of notebooks for time series analysis☆394Updated 2 weeks ago
- Foundation Models for Time Series☆556Updated this week
- List of papers, code and experiments using deep learning for time series forecasting☆2,684Updated last year
- Chronos: Pretrained Models for Probabilistic Time Series Forecasting☆3,149Updated last week
- list of papers, code, and other resources☆985Updated 9 months ago
- About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pd…☆836Updated last year