Factors Variation
Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprechmann and LeCun
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Keras Gan | 8,842 | a year ago | 142 | mit | Python | |||||
| Keras implementations of Generative Adversarial Networks. | ||||||||||
| Capsnet Tensorflow | 3,678 | 5 years ago | 28 | apache-2.0 | Python | |||||
| A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules | ||||||||||
| Alae | 2,850 | 3 years ago | 31 | Python | ||||||
| [CVPR2020] Adversarial Latent Autoencoders | ||||||||||
| Capsule Networks | 1,419 | 6 years ago | 20 | Python | ||||||
| A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules". | ||||||||||
| Rgan | 413 | 6 years ago | 18 | mit | Python | |||||
| Recurrent (conditional) generative adversarial networks for generating real-valued time series data. | ||||||||||
| Capsnet Pytorch | 409 | 5 years ago | 2 | bsd-3-clause | Python | |||||
| PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules | ||||||||||
| Dec | 289 | 4 years ago | 15 | mit | Jupyter Notebook | |||||
| Pytorch Classification Uncertainty | 235 | a year ago | 3 | mit | Python | |||||
| This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty" | ||||||||||
| Awesome Tensorlayer | 212 | 4 years ago | 1 | cc0-1.0 | ||||||
| A curated list of dedicated resources and applications | ||||||||||
| Iwae | 188 | 8 years ago | 1 | Python | ||||||
| Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT | ||||||||||
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