eth-siplab / Finding_Order_in_Chaos
The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning.
☆31Updated 8 months ago
Alternatives and similar repositories for Finding_Order_in_Chaos:
Users that are interested in Finding_Order_in_Chaos are comparing it to the libraries listed below
- ☆37Updated last year
- A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?☆32Updated last year
- ☆91Updated 4 months ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆75Updated 10 months ago
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆47Updated last year
- Contrastive Learning for Domain Adaptation of Time Series☆87Updated 11 months ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆38Updated 8 months ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆137Updated 9 months ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆117Updated last year
- Task-Aware Reconstruction for Time-Series Transformer☆60Updated 2 years ago
- ☆68Updated 10 months ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆30Updated 11 months ago
- The official code of the paper "MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series" [ICML 2024].☆11Updated 9 months ago
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆19Updated last year
- ☆25Updated 2 years ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆124Updated 10 months ago
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆26Updated last year
- Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'☆34Updated 2 months ago
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆44Updated last year
- DBPM is a simple algorithm designed as a lightweight plug-in without learnable parameters to enhance the performance of time series contr…☆14Updated last year
- ☆17Updated last year
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆21Updated 11 months ago
- DMKD- Series2Vec: Similarity-based Representation Learning for Time Series☆31Updated 2 weeks 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 2 months ago
- ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification☆77Updated 3 months ago
- Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations☆24Updated 4 months ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆200Updated last year
- ☆19Updated 11 months ago
- TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification☆65Updated last year
- [ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation mo…☆165Updated 6 months ago