| Name |
Latest version |
Type |
Date of release |
Primary authors |
Reference papers |
Notes |
|
1.0 |
1d, 2d, 3d |
Janvier 2019 |
DATA team |
http://www.kymat.io |
|
| PyScatWave
|
1 |
Image |
April 2017 |
E. Oyallon, E. Belilovsky, S. Zagoruyko |
[Oyallon et al., 2017] |
|
| Deep
Hybrid Networks |
1 |
Image |
March 2017 |
E. Oyallon, E. Belilovsky, S. Zagoruyko |
[Oyallon et al., 2017] |
|
| ScatWave
|
1 |
Image |
December 2016 |
E. Oyallon |
- |
No longer maintained. |
| NanoScat
|
1 |
Image |
October 2015 |
C.E. Cella |
- |
Minimalist version of the scattering transform (e.g. for pedagogical purposes) |
| ScatNetLight
|
0.1 |
Image |
May 2015 |
E. Oyallon |
[Oyallon and Mallat, 2015] |
Requires to be an advanced user of ScatNet |
| HaarScat |
1 |
Graph |
December 2014 |
X. Cheng, X. Chen (Mia) |
[Chen et al., 2014] |
|
| ScatNet |
0.2 |
Audio, Image |
November 2013 |
L. Sifre, J. Anden |
[Andén and Mallat, 2011b] , |
|
| Compact LIBSVM |
1 |
Classifier |
June 2013 |
J. Anden |
- |
32 bits precision, triangular kernels, multicore and in-place. Speed up calculations and reduce memory
usage.
|
| Phase
recovery |
1 |
Reconstruction |
June 2012 |
I. Waldspurger |
[d'Aspremont et al., 2015] |
|
Note that these packages are provided for legacy purposes. However, links and articles can be missing. To compute scattering transforms, please use the ScatNet toolbox above.
