14 results found Sort:

329
2.8k
bsd-2-clause
60
The machine learning toolkit for time series analysis in Python
Created 2017-05-04
1,637 commits to main branch, last one 2 months ago
184
1.0k
other
27
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
Created 2017-02-02
781 commits to master branch, last one 18 days ago
286
852
unknown
92
gesture recognition toolkit
Created 2014-01-03
897 commits to master branch, last one 4 years ago
Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch using Numba
Created 2020-05-02
10 commits to master branch, last one about a year ago
Quantify the difference between two arbitrary curves in space
Created 2018-05-18
192 commits to master branch, last one 6 months ago
An implementation of soft-DTW divergences.
Created 2020-11-18
7 commits to master branch, last one 2 years ago
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Created 2021-06-16
1 commits to main branch, last one 2 years ago
Implementation of soft dynamic time warping in pytorch
Created 2019-02-19
6 commits to master branch, last one 2 years ago
Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds
Created 2020-04-30
272 commits to master branch, last one 3 months ago
Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
Created 2019-11-27
268 commits to master branch, last one about a month ago
Measure the distance between two spectra/signals using optimal transport and related metrics
Created 2019-09-18
396 commits to master branch, last one about a year ago
8
41
mit
2
A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.
Created 2020-01-29
97 commits to master branch, last one 9 months ago
Torch implementation of Soft-DTW, supports CUDA.
Created 2022-06-10
32 commits to main branch, last one about a year ago