| tslearn-team/tslearn |
2,705 |
|
11 |
38 |
about 2 years ago |
99 |
August 21, 2023 |
127 |
bsd-2-clause |
Python |
| The machine learning toolkit for time series analysis in Python |
| readbeyond/aeneas |
2,079 |
|
4 |
1 |
over 3 years ago |
17 |
March 16, 2017 |
56 |
agpl-3.0 |
Python |
| aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment) |
| pollen-robotics/dtw |
1,064 |
|
14 |
9 |
almost 3 years ago |
8 |
October 29, 2019 |
11 |
gpl-3.0 |
Python |
| DTW (Dynamic Time Warping) python module |
| wannesm/dtaidistance |
964 |
|
4 |
23 |
over 2 years ago |
46 |
November 08, 2023 |
21 |
other |
Python |
| Time series distances: Dynamic Time Warping (fast DTW implementation in C) |
| slaypni/fastdtw |
666 |
|
42 |
42 |
about 3 years ago |
10 |
October 07, 2019 |
33 |
mit |
Python |
| A Python implementation of FastDTW |
| markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping |
540 |
|
0 |
0 |
over 7 years ago |
0 |
|
7 |
|
Jupyter Notebook |
| Python implementation of KNN and DTW classification algorithm |
| Maghoumi/pytorch-softdtw-cuda |
359 |
|
0 |
0 |
almost 4 years ago |
0 |
|
9 |
mit |
Python |
| Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch using Numba |
| zsiciarz/aquila |
323 |
|
0 |
0 |
about 10 years ago |
0 |
|
33 |
mit |
C++ |
| Aquila is a digital signal processing library for C++11. |
| patrickzib/SFA |
258 |
|
0 |
0 |
about 4 years ago |
0 |
|
7 |
gpl-3.0 |
Java |
| Scalable Time Series Data Analytics |
| mblondel/soft-dtw |
235 |
|
0 |
0 |
over 7 years ago |
5 |
May 16, 2018 |
9 |
bsd-2-clause |
Python |
| Python implementation of soft-DTW. |
