XinWangTIM

Pyraformer

time-series-transformers-review

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

samplernn-pytorch

PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

pytorch-forecasting

Time series forecasting with PyTorch

pycaret

An open-source, low-code machine learning library in Python

deep-learning-time-series

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

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

SCINet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

STTN

paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

GraphNeuralNetwork

The learning of the GraphNeuralNetwork

Space-time-Sequence

物联感知时空序列数据分析；SpatiotemporalSequence；

pytorch_geometric_temporal

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

Non-AR-Spatial-Temporal-Transformer

Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.

spacetimeformer

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

TCCT2021

Convolutional Transformer Architectures Complementary to Time Series Forecasting Transformer Models

Graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

time_series_forecasting

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

AR-Net

A simple Auto-Regressive Neural Network for time-series

neural_prophet

NeuralProphet: A simple forecasting package

GRAPE

Time2Vec-PyTorch

Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf

GTS

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

flow-forecast

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

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-best-practice

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