keonlee9420 / Soft-DTW-Loss

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

keonlee9420
keonlee9420
Date Created 2021-06-16 (3 years ago)
Commits 1 (last one 3 years ago)
Stargazers 141 (0 this week)
Watchers 3 (0 this week)
Forks 11
License mit
Ranking

RepositoryStats indexes 633,559 repositories, of these keonlee9420/Soft-DTW-Loss is ranked #241,925 (62nd percentile) for total stargazers, and #418,320 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #45,002/129,482.

keonlee9420/Soft-DTW-Loss is also tagged with popular topics, for these it's ranked: deep-learning (#4,384/8818),  pytorch (#3,080/6221),  time-series (#347/700),  cuda (#368/688),  deep-neural-networks (#337/653)

Other Information

keonlee9420/Soft-DTW-Loss has Github issues enabled, there are 2 open issues and 1 closed issue.

There have been 2 releases, the latest one was published on 2021-08-03 (3 years ago) with the name v1.0.0.

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updated: 2025-03-29 @ 05:11am, id: 377522657 / R_kgDOFoCJ4Q