| pycaret/pycaret |
8,130 |
|
0 |
16 |
about 2 years ago |
95 |
November 12, 2023 |
330 |
mit |
Jupyter Notebook |
| An open-source, low-code machine learning library in Python |
| jdb78/pytorch-forecasting |
3,439 |
|
0 |
10 |
about 2 years ago |
34 |
July 26, 2020 |
464 |
mit |
Python |
| Time series forecasting with PyTorch |
| jolibrain/deepdetect |
2,492 |
|
0 |
0 |
over 2 years ago |
0 |
|
92 |
other |
C++ |
| Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE |
| shapelets/khiva |
186 |
|
0 |
0 |
over 4 years ago |
0 |
|
22 |
mpl-2.0 |
C++ |
| An open-source library of algorithms to analyse time series in GPU and CPU. |
| mzaradzki/neuralnets |
159 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| Deep Learning libraries tested on images and time series |
| zpzim/SCAMP |
144 |
|
0 |
0 |
about 2 years ago |
21 |
June 13, 2022 |
12 |
mit |
C++ |
| The fastest way to compute matrix profiles on CPU and GPU! |
| matrix-profile-foundation/mass-ts |
78 |
|
0 |
0 |
over 3 years ago |
0 |
|
10 |
apache-2.0 |
Python |
| MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity. |
| ritchieng/fractional_differencing_gpu |
33 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation. |
| johnh2o2/cuvarbase |
24 |
|
0 |
0 |
over 2 years ago |
9 |
January 04, 2022 |
6 |
gpl-3.0 |
Jupyter Notebook |
| Python library for fast time-series analysis on CUDA GPUs |
| DavideNardone/MTSS-Multivariate-Time-Series-Software |
18 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Cuda |
| A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS). |
