XinWangTIM
Follow
Stars
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Time series forecasting with PyTorch
An open-source, low-code machine learning library in Python
List of papers, code and experiments using deep learning for time series forecasting
《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！🚀
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
Merlion: A Machine Learning Framework for Time Series Intelligence
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
Convolutional Transformer Architectures Complementary to Time Series Forecasting Transformer Models
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
A simple Auto-Regressive Neural Network for time-series
NeuralProphet: A simple forecasting package
Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf
Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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》)
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats