AIStream-Peelout / flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
☆2,060Updated last week
Related projects ⓘ
Alternatives and complementary repositories for flow-forecast
- proof of concept for a transformer-based time series prediction model☆1,303Updated last year
- Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal …☆806Updated 10 months ago
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆864Updated last year
- PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend☆1,253Updated 5 months ago
- Time series forecasting with PyTorch☆4,002Updated this week
- Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.☆853Updated last year
- tfts: Time Series Deep Learning Models in TensorFlow☆825Updated 2 months ago
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆1,622Updated 3 months ago
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)☆547Updated last year
- List of papers, code and experiments using deep learning for time series forecasting☆2,607Updated 8 months ago
- PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series☆644Updated 3 weeks ago
- Seq2Seq, Bert, Transformer, WaveNet for time series prediction.☆577Updated 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 …☆516Updated 2 years ago
- A Python package for time series classification☆1,773Updated last year
- ☆770Updated 7 years ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆634Updated last year
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.☆2,493Updated 3 months ago
- Automated Time Series Forecasting☆1,123Updated this week
- Scalable and user friendly neural forecasting algorithms.☆3,108Updated this week
- InceptionTime: Finding AlexNet for Time Series Classification☆644Updated last year
- Temporal Pattern Attention for Multivariate Time Series Forecasting☆700Updated 5 years ago
- Resources about time series forecasting and deep learning.☆572Updated this week
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,018Updated 9 months ago
- About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), ht…☆1,976Updated 10 months ago
- Multivariate Time Series Transformer, public version☆770Updated last year
- The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.☆680Updated 3 years ago
- ☆381Updated 3 years ago
- Implementation of deep learning models for time series in PyTorch.☆374Updated 4 years ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,265Updated this week
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆595Updated 3 months ago