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autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

autotimes

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

fedformer

forex-stock-price-prediction-using-transformer-and-time-embeddings

This repository contains the code for the Project "Forex Stock Price Prediction using Transformers and Time Embeddings" written in Tensorflow 2.9.1

inceptiontime

InceptionTime: Finding AlexNet for Time Series Classification

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

master

This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price forecasting, which models the momentary and cross-time stock correlation and guide feature selection with market information.

msgnet

MSGNet (AAAI2024)

mts-mixers

MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing

nonstationary_transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

pyraformer

scaleformer

stockformer

PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

time-series-library

A Library for Advanced Deep Time Series Models.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

units

A unified time series model.