Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"

NHCE: A Neural High-order Causal Entropy Algorithm for Disentangling Coupling Dynamics

The code of Higher-order Causal Entropy (HCE) algorithm

SIABF and Financial Dataset

This is an official pytorch implementation for paper "Learning Soft Sparse Shapes for Efficient Time-Series Classification" (ICML-25, Spotlight).

Python使用pygame实现经典坦克大战游戏

Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks…

Official reference implementation of our paper "On Oversquashing in Graph Neural Networks Through The Lens of Dynamical Systems" accepted at AAAI 2025

Graph Echo State Networks for Pytorch

This repository contains the source code for time series regression.

An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Archetype Computing / Adapting System for the EMERGE project.

Official repo of "Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning." Neurocomputing (2024): 127966.

Deep Echo State Network (DeepESN) Python library

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

Anomaly detection related books, papers, videos, and toolboxes

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

RNN based Time-series Anomaly detector model implemented in Pytorch.

RNN based Time-series Anomaly detector model implemented in Pytorch.

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

Higher-order Granger reservoir computing

Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

Official repository of the xLSTM.