| 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 |
| 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. |
| DynamicTimeWarping/dtw-python |
224 |
|
0 |
0 |
over 2 years ago |
15 |
August 31, 2019 |
2 |
gpl-3.0 |
Python |
| Python port of R's Comprehensive Dynamic Time Warp algorithms package |
| ahwillia/affinewarp |
150 |
|
0 |
0 |
over 2 years ago |
1 |
August 15, 2024 |
4 |
|
Python |
| An implementation of piecewise linear time warping for multi-dimensional time series alignment |
| baggepinnen/DynamicAxisWarping.jl |
89 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
other |
Julia |
| Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds |
| statefb/dtwalign |
85 |
|
1 |
1 |
over 3 years ago |
7 |
January 02, 2023 |
0 |
mit |
Python |
| Comprehensive dynamic time warping module for python |
| rmaestre/FastDTW |
36 |
|
0 |
0 |
over 11 years ago |
0 |
|
0 |
mit |
Java |
| FastDTW- Dynamic Time Warping (DTW) with a linear time and memory complexity |
| ricardodeazambuja/DTW |
20 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
cc0-1.0 |
Jupyter Notebook |
| Dynamic Time Warping in Python / C (using ctypes) |
| dmfolgado/tam |
19 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
Python |
| Time Alignment Measurement for Time Series |
