KKallidromitis / Contrastive-Neural-Processes
Implementation of Contrastive Neural Processes in PyTorch
☆11Updated 2 years ago
Alternatives and similar repositories for Contrastive-Neural-Processes:
Users that are interested in Contrastive-Neural-Processes are comparing it to the libraries listed below
- Contrastive Learning for Domain Adaptation of Time Series☆87Updated last year
- ☆37Updated last year
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆46Updated last year
- Domain Adaptation for Time Series Under Feature and Label Shifts☆119Updated last year
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- ☆71Updated 11 months ago
- Task-Aware Reconstruction for Time-Series Transformer☆60Updated 2 years ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆141Updated 11 months ago
- ☆20Updated last year
- Multivariate Time Series Classification Model with Attentional Prototype Network☆44Updated 6 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆30Updated last year
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆40Updated last year
- Code for mixup contrastive learning☆22Updated 4 years ago
- [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS☆52Updated 2 years ago
- Self-supervised representation learning from 12-lead ECG data☆85Updated 3 years ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆203Updated last year
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 3 years ago
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆55Updated 4 years ago
- ☆9Updated 2 years ago
- Time series explainability via self-supervised model behavior consistency☆47Updated last year
- ☆93Updated 5 months ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆39Updated 9 months ago
- Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time s…☆17Updated 4 months ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆78Updated 11 months ago
- ☆118Updated 2 years ago
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆33Updated 9 months ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆81Updated 3 years ago
- Data augmentation for multivariate time series classification☆27Updated 5 years ago
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆19Updated 2 years ago
- ☆17Updated 2 years ago