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中国科学技术大学人工智能与数据科学学院
- Hefei, China
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About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
A Library for Advanced Deep Time Series Models.
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
cruiseresearchgroup / XXLTraffic
Forked from lixus7/XXLTrafficThe official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for …
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
Code for the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)
honeywell21 / DLinear
Forked from cure-lab/LTSF-LinearThis is an official implementation for "Are Transformers Effective for Time Series Forecasting?"
The entmax mapping and its loss, a family of sparse softmax alternatives.
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion" in PyTorch.
Repository for "FreDF: Learning to Forecast in the Transformed Domain"
Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports
This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Le…
Graph Neural Network Library for PyTorch