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add dtw to readme
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AlexanderVNikitin committed Mar 30, 2024
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Expand Up @@ -125,9 +125,10 @@ TSGM provides a number of time series augmentations.
| ------------- | ------------- | ------------- |
| Gaussian Noise / Jittering | `tsgm.augmentations.GaussianNoise` | - |
| Slice-And-Shuffle | `tsgm.augmentations.SliceAndShuffle` | - |
| Shuffle features | `tsgm.augmentations.Shuffle` | - |
| Magnitude warping | `tsgm.augmentations.MagnitudeWarping` | [Data Augmentation of Wearable Sensor Data for Parkinson’s Disease Monitoring using Convolutional Neural Networks](https://dl.acm.org/doi/pdf/10.1145/3136755.3136817) |
| Window warping | `tsgm.augmentations.WindowWarping` | [Data Augmentation for Time Series Classification using Convolutional Neural Networks](https://shs.hal.science/halshs-01357973/document) |
| Shuffle Features | `tsgm.augmentations.Shuffle` | - |
| Magnitude Warping | `tsgm.augmentations.MagnitudeWarping` | [Data Augmentation of Wearable Sensor Data for Parkinson’s Disease Monitoring using Convolutional Neural Networks](https://dl.acm.org/doi/pdf/10.1145/3136755.3136817) |
| Window Warping | `tsgm.augmentations.WindowWarping` | [Data Augmentation for Time Series Classification using Convolutional Neural Networks](https://shs.hal.science/halshs-01357973/document) |
| DTW Barycentric Averaging | `tsgm.augmentations.DTWBarycentricAveraging` | [A global averaging method for dynamic time warping, with applications to clustering.](https://www.sciencedirect.com/science/article/pii/S003132031000453X) |


## Contributing
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