yiyg510

AADCL

PyTorch implementation of the paper "Semi-Supervised Acoustic Anomaly Detection via Contrastive Learning"

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"

GRAIL

"GRAIL: Efficient Time-Series Representation Learning"

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

R-GAE

RVGAN

[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network

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

tslearn

A machine learning toolkit dedicated to time-series data

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