Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)
☆58Oct 19, 2020Updated 5 years ago
Alternatives and similar repositories for codats
Users that are interested in codats are comparing it to the libraries listed below
Sorting:
- A transfer learning model CoDats applied to fault diagnosis problem☆15May 9, 2021Updated 4 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆133Jun 21, 2023Updated 2 years ago
- Analysis code for "Topological Time-series Analysis with Delay-variant Embedding" Manuscript.☆11Nov 14, 2019Updated 6 years ago
- [KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification☆15Jun 17, 2024Updated last year
- Official implementation of SWL-Adapt.☆14Apr 4, 2023Updated 2 years ago
- Source code for Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification (ICML 2020).☆36Jul 25, 2024Updated last year
- Code for our paper Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021☆20Jun 6, 2021Updated 4 years ago
- Delay embedding for time series modeling and classification☆18Apr 30, 2017Updated 8 years ago
- Data Analysis and Machine Learning on Physical monitoring data☆16Nov 14, 2019Updated 6 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆22Jul 6, 2020Updated 5 years ago
- ☆28Feb 6, 2023Updated 3 years ago
- ☆18Jun 26, 2021Updated 4 years ago
- Adaptive State-Frequency Memory Recurrent Neural Network☆25Mar 24, 2023Updated 2 years ago
- ☆10Feb 14, 2023Updated 3 years ago
- Neural Time Series Analysis☆14Nov 21, 2022Updated 3 years ago
- Time Series Classification with Multiple Symbolic Representations.☆39May 31, 2020Updated 5 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆29Oct 21, 2018Updated 7 years ago
- An encoder-decoder framework for learning from incomplete data☆45Jul 6, 2023Updated 2 years ago
- Presentations about Bayesian structural times series + code☆11Apr 11, 2021Updated 4 years ago
- Bayesian structural time series in python☆12Mar 17, 2022Updated 4 years ago
- ☆18Dec 13, 2024Updated last year
- This is the pytorch demo code for Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain, (PTMDA) (IEEE Transactions on Ima…☆11Apr 15, 2022Updated 3 years ago
- Physics-Informed Neural Networks for Cardiovascular Blood Flow Simulations☆18Apr 7, 2025Updated 11 months ago
- Implementation of paper multi-source distilling domain adaptation☆56Feb 6, 2020Updated 6 years ago
- A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆14Mar 9, 2020Updated 6 years ago
- A Vanilla CNN model on P300 Speller ERP☆10Aug 6, 2019Updated 6 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆30Sep 23, 2021Updated 4 years ago
- The code for "EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections"☆13Dec 8, 2020Updated 5 years ago
- Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization☆3,885May 10, 2024Updated last year
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆109Oct 22, 2025Updated 4 months ago
- A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior"☆14Jul 10, 2022Updated 3 years ago
- Transfer learning for time series classification☆382Jun 6, 2019Updated 6 years ago
- ☆13Aug 29, 2017Updated 8 years ago
- ☆15Feb 8, 2023Updated 3 years ago
- PyTorch implementation for "Temperature as Uncertainty in Contrastive Learning" (https://arxiv.org/abs/2110.04403).☆16Oct 19, 2021Updated 4 years ago
- Code for "Coupled local–global adaptation for multi-source transfer learning" published on Neurocomputing☆12Sep 29, 2018Updated 7 years ago
- ☆921Jul 6, 2023Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆96Apr 11, 2024Updated last year
- Temporal information enhanced EEGNet☆13Feb 27, 2023Updated 3 years ago