Mmdcgm Ssl
mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learning
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tensorflow Generative Model Collections | 3,570 | 6 years ago | 22 | apache-2.0 | Python | |||||
| Collection of generative models in Tensorflow | ||||||||||
| Alae | 2,850 | 3 years ago | 31 | Python | ||||||
| [CVPR2020] Adversarial Latent Autoencoders | ||||||||||
| Pytorch Vqvae | 679 | 10 months ago | 6 | Python | ||||||
| Vector Quantized VAEs - PyTorch Implementation | ||||||||||
| Joint Vae | 384 | 5 years ago | 1 | mit | Jupyter Notebook | |||||
| Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2: | ||||||||||
| Tf Vqvae | 205 | 6 years ago | 1 | Jupyter Notebook | ||||||
| Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE). | ||||||||||
| Variational Ladder Autoencoder | 198 | 6 years ago | 1 | Python | ||||||
| Implementation of VLAE | ||||||||||
| Twostagevae | 160 | 5 years ago | 7 | Python | ||||||
| Generative Models | 92 | 7 years ago | 1 | Python | ||||||
| Comparison of Generative Models in Tensorflow | ||||||||||
| Bagan | 80 | 3 years ago | 6 | epl-1.0 | Python | |||||
| Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example. | ||||||||||
| Vae For Image Generation | 75 | 6 years ago | 1 | mit | Python | |||||
| Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets | ||||||||||
Alternatives To Mmdcgm SslSelect To Compare
Alternative Project Comparisons
Popular Mnist Projects
Popular Generative Model Projects
Popular Machine Learning Categories
Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Python
Mnist
Generative Model