keonlee9420 / Soft-DTW-Loss

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

Date Created 2021-06-16 (3 years ago)

Commits 1 (last one 3 years ago)

Stargazers 129 (0 this week)

Watchers 3 (0 this week)

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RepositoryStats indexes 584,777 repositories, of these keonlee9420/Soft-DTW-Loss is ranked #244,143 (58th percentile) for total stargazers, and #422,609 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #44,549/116,437.

keonlee9420/Soft-DTW-Loss is also tagged with popular topics, for these it's ranked: deep-learning (#4,430/8398), pytorch (#3,125/5951), time-series (#340/659), cuda (#358/635), deep-neural-networks (#348/627)

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.

All Topics

dtw cuda pytorch soft-dtw time-series deep-learning loss-function deep-neural-networks dynamic-time-warping

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The only known language in this repository is Python

updated: 2024-11-14 @ 09:50pm, id: 377522657 / R_kgDOFoCJ4Q