TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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

Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems

Training neural networks to disentangle conservative and dissipative dynamics

Hamiltonian neural network implementation for Henon Heiles dynamical system learning mix of order and chaos