PlanHouse's Stars
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
lucidrains/reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
ysyisyourbrother/SYSU_Notebook
本项目分享了中山大学计算机学院本科和研究生阶段的课程资料、笔记、期末考试卷和其他实用的相关资源。希望对同学们的学习有所帮助❤️,如果喜欢记得给个star🌟
NX-AI/xlstm
Official repository of the xLSTM.
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
laiguokun/multivariate-time-series-data
zhangxu0307/time_series_forecasting_pytorch
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code
FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
GestaltCogTeam/STEP
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
qingsongedu/Awesome-SSL4TS
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
salesforce/ETSformer
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
RuifMaxx/Multidimensional-time-series-with-transformer
transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测
HiddenSharp/LSTM-SVM-RF-time-series
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。
jsyoon0823/Time-series-prediction
Basic RNN, LSTM, GRU, and Attention for time-series prediction
E-Renshaw/kuramoto-sivashinsky
A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB
QCmonk/Qmemristor
Code base for quantum memristor
gallicch/EulerStateNetworks
qianlima-lab/Scale-teaching
This is an official pytorch implementation for paper "Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels" (NeurIPS-23).
qingsongedu/ICML2022-FEDformer
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
PlanHouse/Asynchronous-Deep-Reservoir-Computation-ADRC
Reference: Bo Y C , Wang P , Zhang X . An asynchronously deep reservoir computing for predicting chaotic time series[J]. Applied Soft Computing, 2020, 95(6):106530. https://doi.org/10.1016/j.asoc.2020.106530 Also, the code can implement ESN, Li-ESN and Deep-ESN by adjusting the key parameters.
Tsinghua-LEMON-Lab/Rotating-neurons-reservoir
Rotating neurons reservoir is a hardware architecture for implementing resource-efficient reservoir computing. The code is a simulator for NARMA10 task, achieving record-low error.
ENGRsao/Reservoir-Computer
This repository implement a reservoir computer using Matlab simulation. It harness the nonlinearity property of optical fiber in achieving a reservoir. Optical fiber is used to serve as the nonlinear node in the reservoir and also serve as the delay loop
awikner/res-noise-stabilization
boxaio/TDRC-Chaos
tasteSoGood/Ten_Lectures_on_Wavelets