[NeurIPS'19] Deep Equilibrium Models

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.

Embedding the Learning of Multivariate Shapelets in a Multi-Layer Neural Network

Time-Series Event Prediction with Evolutionary State Graph, WSDM 2021

Source codes for Time2Graph model.

Source codes for Time2Graph+ model.

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

tfts: Time Series Deep Learning Models in TensorFlow

List of papers, code and experiments using deep learning for time series forecasting

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series