donalee / DTW-Pool
Implementation of dynamic temporal pooling (DTP) for time series classification
☆38Updated 2 years ago
Alternatives and similar repositories for DTW-Pool:
Users that are interested in DTW-Pool are comparing it to the libraries listed below
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆37Updated 7 months ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆28Updated 2 years ago
- ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification☆70Updated 8 months ago
- ☆22Updated 3 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆26Updated 3 years ago
- ☆89Updated 3 months ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆38Updated 4 years ago
- Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.☆76Updated 3 years ago
- [SDM 2022] Towards Similarity-Aware Time-Series Classification☆75Updated last year
- Multivariate Time Series Classification Model with Attentional Prototype Network☆44Updated 6 years ago
- Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting☆33Updated 2 years ago
- ☆113Updated 2 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆56Updated last year
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆17Updated last year
- Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"☆14Updated 2 years ago
- Source codes for Time2Graph+ model.☆33Updated 3 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆29Updated 9 months ago
- ☆16Updated last year
- Contrastive Learning for Domain Adaptation of Time Series☆87Updated 10 months ago
- C-Mixup for NeurIPS 2022☆68Updated last year
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆42Updated 2 years ago
- Community Implementation of *Temporal Latent Auto-Encoder* as described in [Temporal Latent Auto-Encoder: A Method for Probabilistic Mult…☆15Updated 2 years ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆76Updated 2 years ago
- Time Series Change Point Detection based on Contrastive Predictive Coding☆78Updated 2 years ago
- Code for mixup contrastive learning☆21Updated 3 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆116Updated last year
- Multivariate time series representation learning (using bert-like model adapted for TS)☆14Updated 3 years ago
- ☆28Updated 3 years ago
- Official Implementation of Time Series Generation with Masked Autoencoder (ExtraMAE)☆37Updated 2 years ago