Yugen Yi's repositories
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
dltime-torch
Deep Learning Methods for Time Series Data Mining (Time series Classification, Augmentation, TimeGAN...) implemented by torch
dns-panoramic-images
Data set used in "A study on tooth segmentation and numbering using end-to-end deep neural networks"
DouZero
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
Entropy-weighted-NMF
Code for entropy weighted nonnegative matrix factorization
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
GA_PSO_DEEP_LEARNING
Multiple Time Series Fusion Based on LSTM: An Application to CAP A Phase Classification Using EEG
GDN
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"
Graph-Embeddding
Reimplementation of Graph Embedding methods by Pytorch.
MeshSegNet
PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization.
ms-convSTAR
[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
PPML-TSA
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
Semi-Supervised-Transfer-Learning
[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
SemiSuperTSC
code for paper Time-Frequency based Multi-Task Learning for Semi-Supervised Time Series Classification
ssltsc
Codebase for the Paper "Deep Semi-supervised Learning (SSL) for Time Series Classification (TSC)" to appear at the ICMLA '21
STFPM
Code for the paper entitled "Student-Teacher Feature Pyramid Matching for Anomaly Detection" (BMVC 2021)
TadGAN
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
time-series
Time-Series models for multivariate and multistep forecasting, regression, and classification
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
tods
TODS: An Automated Time-series Outlier Detection System
TSCResNet
A PyTorch Time Series Classification ResNet Model
TSViz-Core
Code for the paper: "TSViz: Demystification of Deep Learning Models for Time-Series Analysis"
VesselSeg-Pytorch
Retinal vessel segmentation toolkit based on pytorch
WZU-machine-learning-course
温州大学《机器学习》课程资料(代码、课件等)
XCM
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification