Pytorch implementation of “Learnable Prompt as Pseudo-Imputation (PAI)” (Accepted by KDD'25)

Modular framework for property inference attacks on deep neural networks

A curated list of papers in the intersection of multimodal LLMs and time series analysis. https://mllm-ts.github.io/paper/MLLMTS_Survey.pdf

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Deep learning for forecasting company fundamental data

Official research projects of badminton CoachAI

Awesome resources on normalizing flows.

Resources for working with time series and sequence data

Large Language & Foundation Models for Time Series.

⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

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

Code for `Dissecting Distribution Inference'

Code for our work 'Formalizing and Estimating Distribution Inference Risks'

Resources for Machine Learning Explainability

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Code for our paper 'Formalizing Distribution Inference Risks'

A hyperparameter optimization framework

[BMVC2023] Widely Applicable Strong Baseline for Sports Ball Detection and Tracking

Papers about explainability of GNNs

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

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

武汉大学金融科技研讨班

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaof…

An implementation (TensorFlow) of CPL and GCPL appeared in CVPR2018 paper: "Robust Classification with Convolutional Prototype Learning"

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method