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 132 (0 this week)

Watchers 3 (0 this week)

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RepositoryStats indexes 595,856 repositories, of these keonlee9420/Soft-DTW-Loss is ranked #246,001 (59th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #45,119/119,431.

keonlee9420/Soft-DTW-Loss is also tagged with popular topics, for these it's ranked: deep-learning (#4,457/8512), pytorch (#3,148/6025), time-series (#343/672), cuda (#366/652), deep-neural-networks (#348/634)

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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updated: 2024-12-21 @ 11:09pm, id: 377522657 / R_kgDOFoCJ4Q