floft / vradaLinks
Variational Adversarial Deep Domain Adaptation implementation (TensorFlow 1.x)
☆11Updated 6 years ago
Alternatives and similar repositories for vrada
Users that are interested in vrada are comparing it to the libraries listed below
Sorting:
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆56Updated 4 years ago
- Code for our paper Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021☆18Updated 4 years ago
- Code for Unsupervised Multi-Source Domain Adaptation for Regression paper☆18Updated 5 years ago
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- ☆52Updated 7 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆70Updated 5 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 4 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 3 years ago
- ☆38Updated last year
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago
- ☆42Updated 2 years ago
- Source Code of Industrial_ZSL in TII☆33Updated 4 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆32Updated last year
- Code for our paper Self Supervised Learning for Semi Supervised Time Series Classification PAKDD 2020☆16Updated 5 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆124Updated 2 years ago
- ☆26Updated 2 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆55Updated 3 years ago
- Demo code for the MDAN paper.☆125Updated 5 years ago
- Multivariate Time Series Classification Model with Attentional Prototype Network☆43Updated 6 years ago
- Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆29Updated 5 years ago
- ☆20Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆92Updated last year
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆215Updated 2 years ago
- This is stack autoencoder (SAE) implemented by Pytorch☆25Updated 7 years ago
- Hierarchical Transfer Component Analysis and Hierarchical Joint Domian Adaption are implemented in this repository.☆21Updated 7 years ago
- A paper list for Time series modelling, including prediciton and anomaly detection☆94Updated 5 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆22Updated 6 years ago
- ☆21Updated last year
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆75Updated 6 years ago
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆74Updated 6 years ago