[TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup
☆34Apr 17, 2024Updated 2 years ago
Alternatives and similar repositories for CoTMix
Users that are interested in CoTMix are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Contrastive Learning for Domain Adaptation of Time Series☆95Apr 11, 2024Updated 2 years ago
- Code for "Margin-aware Adversarial Domain Adaptation with Optimal Transport" paper☆16Jan 31, 2022Updated 4 years ago
- ☆39Dec 19, 2023Updated 2 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆137Jun 21, 2023Updated 3 years ago
- Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch☆12Apr 8, 2021Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆233Jun 7, 2023Updated 3 years ago
- ☆12Feb 29, 2024Updated 2 years ago
- ☆29Feb 6, 2023Updated 3 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆31Sep 23, 2021Updated 4 years ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆60Feb 4, 2023Updated 3 years ago
- Official implementation of SWL-Adapt.☆14Apr 4, 2023Updated 3 years ago
- ☆11May 6, 2021Updated 5 years ago
- python RobustRMC projects☆11Apr 22, 2024Updated 2 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆164Jun 9, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- DMsrTTLN code☆18Aug 25, 2024Updated last year
- ☆27Apr 18, 2024Updated 2 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆50Jan 13, 2022Updated 4 years ago
- ☆12Jun 1, 2023Updated 3 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆38Sep 6, 2023Updated 2 years ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆31Aug 3, 2023Updated 2 years ago
- This work studies imbalanced domain generalization.☆12Dec 26, 2022Updated 3 years ago
- Code for "Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization" (ICASSP 2021)☆22Apr 20, 2022Updated 4 years ago
- ☆11Sep 20, 2025Updated 9 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆36Jan 16, 2026Updated 5 months ago
- Multivariate Dictionary Learning Algorithm☆27Jan 15, 2024Updated 2 years ago
- ☆14Mar 6, 2023Updated 3 years ago
- ☆13Aug 28, 2025Updated 10 months ago
- This project compares the performance of KanResNet(KanResNet is an enhanced version of ResNet that incorporates Kan convolutions) and Res…☆15Jun 14, 2024Updated 2 years ago
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆19Sep 11, 2023Updated 2 years ago
- An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"☆43Aug 10, 2019Updated 6 years ago
- ☆22Oct 6, 2024Updated last year
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆16Mar 31, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆51Aug 6, 2023Updated 2 years ago
- ☆10Apr 2, 2021Updated 5 years ago
- Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation(AAAI-2019)☆83Jan 3, 2020Updated 6 years ago
- Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)☆44Jan 3, 2020Updated 6 years ago
- A curated list of domain adaptation papers, datasets and other resources.☆50Jul 17, 2020Updated 5 years ago
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆494Mar 31, 2024Updated 2 years ago
- ☆13May 15, 2021Updated 5 years ago