YaoPhoebeGuo's Stars
EdisonLeeeee/MaskGAE
[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
THUDM/GraphMAE
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
liuxu77/STGCL
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
kitschpatrol/BrainGrapher
Processing-based visualizer for NeuroSky EEG brainwave data output from the Arduino Brain library.
ufvceiec/EEGRAPH
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
tsinghua-fib-lab/Traffic-Benchmark
salesforce/CoST
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
haoyfan/CADGMM
CADGMM (PAKDD2020)
haoyfan/SemiTime
SemiTime (ICASSP2021)
haoyfan/Dual-SVDAE
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks
davidthaler/Python-wrapper-for-R-Forecast
Python wrappers (written using rpy2) for most of the functions in the R Forecast package and some related functions in stats.
TimyadNyda/Variational-Lstm-Autoencoder
Lstm variational auto-encoder for time series anomaly detection and features extraction
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
zhangyuxin621/AMSL
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source
astha-chem/mvts-ano-eval
A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)
angus924/minirocket
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
LZhengyu/MSCRED
Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
angus924/rocket
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
jarheadjoe/Adv-spec-ker-matching
Code for our paper Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021
louisoutin/bert_timeseries
Multivariate time series representation learning (using bert-like model adapted for TS)
sktime/sktime-neuro
time series machine learning for neurological data
torcheeg/torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
chongwar/gnn-eeg
Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.
ravikiran-mane/FBCNet
FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface
danielgy/Time-Series-Forecasting
jxw2018/cost-sensitive-learning-for-imbalanced-fault-diagnosis
imbalanced fault diagnosis
iamyuanchung/csdnn
Theano implementation of Cost-Sensitive Deep Neural Networks
stephanieger/imbalanced-sequence-classification
Methods for generating synthetic minority data for multivariate temporal data to improve classification accuracy.
AITRICS/EEG_real_time_seizure_detection
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)