| clementfarabet/ipam-tutorials |
124 |
|
0 |
0 |
over 9 years ago |
0 |
|
5 |
|
Lua |
| IPAM Tutorials on Theano/Torch |
| RuiShu/cvae |
66 |
|
0 |
0 |
about 10 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Conditional variational autoencoder implementation in Torch |
| houxianxu/DFC-VAE |
65 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
|
Lua |
| Variational Autoencoder trained by Feature Perceputal Loss |
| MB-29/optimal-textures |
16 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Python |
| Optimal deep texture generation and style transfer based on Eric Risser's paper |
| staturecrane/denoising-convolutional-ae-torch |
12 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Lua |
| An implementation of a denoising convolutional autoencoder built on Torch, trained on still images from Stanley Kubrick's 2001: A Space Odyssey |
| alemme/NNSAE |
8 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
|
| Non Negative Sparse AutoEncoder (NNSAE). An efficient online learning scheme for non-negative and sparse coding in autoencoder neural networks. |
| viorik/unsupgpu |
5 |
|
0 |
0 |
almost 10 years ago |
0 |
|
2 |
|
Lua |
| cuda implementation of predictive sparse decomposition autoencoder |
