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vHeat: Building Vision Models upon Heat Conduction

Official code for Zero-Reference Low-Light Enhancement via Physical Quadruple Priors (CVPR-24)

Differentiable architecture search for convolutional and recurrent networks

A full-fledged version of Pix2Seq

Visualizing how deep networks make decisions

A concise but complete full-attention transformer with a set of promising experimental features from various papers

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

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

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Multivariate Time Series Transformer, public version

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

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal, multi-exposure and multi-focus image fusion.

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

Official PyTorch Implementation of SAGPool - ICML 2019

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"

Salient objects in clutter, TPAMI, 2022

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

LibCity: An Open Library for Urban Spatial-temporal Data Mining

PHNet: Parasite-Host Network for Video Crowd Counting

Official Implement of CVPR 2021 paper “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting”

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

to be continued

Machine learning for transportation data imputation and prediction.

Pytorch implementation of Graph U-Nets (ICML19)