XuCheng's repositories
Awesome-TimeSeries-SpatioTemporal-Diffusion-Model
A list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
CBDM-pytorch
Official implementation for 'Class-Balancing Diffusion Models'
D3R
PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)
deep-loglizer
A deep learning toolkit for log-based anomaly detection
DiffAD
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models
dw-offline-rl
Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
Entity
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Graph-ViT-MLPMixer
Repository for Graph ViT/MLP-Mixer
imFTP
Deep Imbalance Learning via Fuzzy Set Theory and Prototypical Learning (imFTP, IEEE Transactions on Neural Networks and Learning Systems 2023)
loglizer
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
ML-strategies-for-SoH_Estimation-and-RUL_prediction-for-lithium-ion-batteries
Repository for my thesis work about state of health estimation and remaining useful life prediction using ML techniques
MPIN
repository for MPIN project
MSD-Mixer
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
NormFAAE
About Code release for "A Filter-Augmented Auto-Encoder with Learnable Normalization for Robust Multivariate Time Series Anomaly Detection"
OneNet
This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling》
OWTTT
[ICCV 2023 Oral] Official repository for “On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion”
PRIOR
Official repository for the paper "Prototype Representation Joint Learning from Medical Images and Reports, ICCV 2023".
SupNotMIWAE-with-ObsDropout
Official implementation of "Probabilistic Imputation for Time-series Classification with Missing Data (ICML 2023)"
SycoNet-Adaptive-Image-Harmonization
[ICCV 2023] The code used in our paper "Deep Image Harmonization with Learnable Augmentation", ICCV2023.
TranAD
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
TransXNet
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition