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1. eth-siplab/Finding_Order_in_Chaos eth-siplab/Finding_Order_in_Chaos Public

   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.

   Python 36 1

2. Real-Time-ECG-signal-processing Real-Time-ECG-signal-processing Public archive

   C++ 8 6

3. eth-siplab/Unsupervised_Periodicity_Detection eth-siplab/Unsupervised_Periodicity_Detection Public

   Official code for ICML 2024 paper "An Unsupervised Approach for Periodic Source Detection in Time Series"

   Python 12 4

4. eth-siplab/Shift-Invariant_Deep_Learning_on_Time_Series eth-siplab/Shift-Invariant_Deep_Learning_on_Time_Series Public

   The official implementation of ICLR2025 paper for shift-invariant neural networks

   Python 9

5. eth-siplab/Learning-with-FrameProjections eth-siplab/Learning-with-FrameProjections Public

   Official code for NeurIPS 2025 paper "Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections"

   Python