KKallidromitis / Contrastive-Neural-Processes
Implementation of Contrastive Neural Processes in PyTorch
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Contrastive-Neural-Processes
- Contrastive Learning for Domain Adaptation of Time Series☆81Updated 7 months ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆107Updated last year
- ☆35Updated 11 months ago
- A curated list of time series augmentation resources.☆64Updated 2 years ago
- [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS☆46Updated 2 years ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆182Updated last year
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆29Updated 7 months ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆47Updated 2 years ago
- Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AA…☆23Updated 10 months ago
- Self-supervised representation learning from 12-lead ECG data☆77Updated 2 years ago
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆22Updated last year
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆25Updated 3 years ago
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆41Updated last year
- ☆20Updated last year
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆124Updated 6 months ago
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆29Updated 4 months ago
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆52Updated 4 years ago
- ☆22Updated last year
- Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)☆36Updated 8 months ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆62Updated 6 months ago
- ☆17Updated 7 months ago
- A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?☆25Updated last year
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆76Updated 3 years ago
- ☆24Updated last year
- A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series☆24Updated 4 months ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS☆17Updated 2 years ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆35Updated last year
- Time series explainability via self-supervised model behavior consistency☆38Updated last year
- ☆53Updated 6 months ago
- Multivariate Time Series Classification Model with Attentional Prototype Network☆40Updated 5 years ago