Yan9564

Yan9564's Stars

• XiaShan1227/GNN-Tutorial

  B站GNN教程资料

  Language:Jupyter Notebook8410

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k841

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.5k1k

• ForestsKing/LstmAE

  PyTorch implementation of LstmAE (Outlier Detection for Multidimensional Time Series Using Deep Neural Networks)

  Language:Python142

• zamanzadeh/CARLA

  CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time series data.

  Language:Python306

• ForestsKing/D3R

  PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)

  Language:Python324

• fastai/course22

  The fast.ai course notebooks

  Language:Jupyter Notebook2.4k947

• yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model

  A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

  41937

• UCLA-Trustworthy-AI-Lab/AutoDiffusion

  The official code implementation of the Autodiff algorithm.

  Language:Python61

• namjoonsuh/TimeAutoDiff

  Code implementations of TimeAutoDiff

  Language:Jupyter Notebook82

• ChunjingXiao/DiffAD

  Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023

  Language:Python8110

• WangWenhao0716/AnypatternStyle

  The style extractor trained on AnyPattern

  Language:Python6

• WangWenhao0716/VidProM

  [NeurIPS 2024] VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

  1033

• WangWenhao0716/AnyPattern

  The official implementation of "AnyPattern: Towards In-context Image Copy Detection"

  Language:Python8

• WangWenhao0716/PEICD

  [IJCV 2024] The official implementation of "Pattern-Expandable Image Copy Detection"

  Language:Python5

• WangWenhao0716/Awesome-Diffusion-Replication

  Replication in Visual Diffusion Models: A Survey and Outlook

  184

• RomainSabathe/dagmm

  A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.

  Language:Python6818

• swyoon/manifold-projection-diffusion-recovery-pytorch

  Language:Jupyter Notebook31

• zhouhaoyi/Informer2020

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

  Language:Python5.3k1.1k

• dvlab-research/Step-DPO

  Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"

  Language:Python2436

• nothing2wang/ADBench

  Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

  1

• JulienAu/Anomaly_Detection_Tuto

  Anomaly detection tutorial on univariate time series with an auto-encoder

  Language:Jupyter Notebook18829

• manigalati/usad

  Language:Jupyter Notebook20858

• khundman/telemanom

  A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

  Language:Jupyter Notebook1k247

• rsands616/tel

  Language:Jupyter Notebook1

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.3k1.7k

• cran2367/deep-learning-and-rare-event-prediction

  Deep Learning and Rare Event Prediction

  Language:Jupyter Notebook4520

• cfeng783/NSIBF

  Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

  Language:Python4112

• softmin/ReHLine

  Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

  39

• facebookresearch/SymbolicMathematics

  Deep Learning for Symbolic Mathematics

  Language:Python524115