My personal PyTorch framework for multivariate time series forecasting.

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

[KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".

A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

[CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".

The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." This work is developed by the Lab of Professor Weiwei Lin ([email protected]),…

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

A Library for Advanced Deep Time Series Models.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Share some classic papers and detailed notes in deep learning

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

TensorFlow code and pre-trained models for BERT

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

All Algorithms implemented in Python

常用书籍