AIStream-Peelout / flow-forecastLinks
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
☆2,225Updated last week
Alternatives and similar repositories for flow-forecast
Users that are interested in flow-forecast are comparing it to the libraries listed below
Sorting:
- proof of concept for a transformer-based time series prediction model☆1,422Updated 2 years ago
- Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal …☆859Updated last year
- List of papers, code and experiments using deep learning for time series forecasting☆2,722Updated last year
- Time series forecasting with PyTorch☆4,448Updated this week
- PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend☆1,328Updated last year
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆889Updated 2 years ago
- Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.☆890Updated 2 years ago
- tfts: Time Series Deep Learning Models in TensorFlow☆859Updated 3 weeks ago
- Scalable and user friendly neural forecasting algorithms.☆3,688Updated this week
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.☆2,841Updated last year
- PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series☆683Updated 5 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,112Updated last year
- Multivariate Time Series Transformer, public version☆837Updated last year
- Temporal Pattern Attention for Multivariate Time Series Forecasting☆729Updated 6 years ago
- N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …☆571Updated 3 years ago
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,281Updated last year
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆1,684Updated last week
- ☆842Updated 8 years ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆657Updated 2 years ago
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)☆591Updated 2 years ago
- About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), ht…☆2,236Updated 5 months ago
- Deep Learning for Time Series Classification☆1,647Updated 2 years ago
- Resources about time series forecasting and deep learning.☆698Updated this week
- A Python package for time series classification☆1,846Updated 2 months ago
- Automated Time Series Forecasting☆1,314Updated last month
- Probabilistic time series modeling in Python☆4,982Updated last week
- ☆396Updated 4 years ago
- Implementation of deep learning models for time series in PyTorch.☆390Updated 5 years ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,764Updated 3 weeks ago
- A universal time series representation learning framework☆736Updated last year