# keonlee9420/Soft-DTW-Loss

<https://repo.masters-masters.com/en/repos/keonlee9420/Soft-DTW-Loss>

[Home](https://repo.masters-masters.com/en) › [keonlee9420](https://repo.masters-masters.com/en/owners/keonlee9420) › [Soft-DTW-Loss](https://repo.masters-masters.com/en/repos/keonlee9420/Soft-DTW-Loss)

keonlee9420/Soft-DTW-Loss has 151 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of Soft-DTW: a Differentiable Loss Function…

| Field | Value |
| --- | --- |
| Owner | [keonlee9420](https://repo.masters-masters.com/en/owners/keonlee9420) |
| Stars | 151 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | deep-learning, cuda, pytorch, dynamic-time-warping, soft-dtw, deep-neural-networks, time-series, loss-function, dtw |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [keonlee9420/Soft-DTW-Loss](https://github.com/keonlee9420/Soft-DTW-Loss) |

## Repository

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.