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🙈time-series
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Implementation of ETSformer, state of the art time-series Transformer, in Pytorch
List of papers, code and experiments using deep learning for time series forecasting
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Time series forecasting with PyTorch
This curated list contains python packages for time series analysis
proof of concept for a transformer-based time series prediction model
list of papers, code, and other resources
A unified framework for machine learning with time series
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
An index of algorithms for learning causality with data
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
Apache HoraeDB (incubating) is a high-performance, distributed, cloud native time-series database.
Implementation of deep learning models for time series in PyTorch.
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
A Python library that implements ×´Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting×´
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
A curated list of awesome self-supervised methods
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"
Resources about time series forecasting and deep learning.
A Redis module for serving tensors and executing deep learning graphs