Tensorflow Vae Gan Draw
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Advanced Deep Learning With Keras | 1,534 | a year ago | 3 | mit | Python | |||||
| Advanced Deep Learning with Keras, published by Packt | ||||||||||
| Tensorflow2 Generative Models | 833 | 3 years ago | 7 | Jupyter Notebook | ||||||
| Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab. | ||||||||||
| Tensorflow Vae Gan Draw | 569 | 7 years ago | 8 | apache-2.0 | Python | |||||
| A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation). | ||||||||||
| Vae Cvae Mnist | 508 | 5 months ago | 1 | Python | ||||||
| Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch | ||||||||||
| Awesome Vaes | 448 | 3 years ago | ||||||||
| A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. | ||||||||||
| Generative Models | 414 | 5 years ago | 1 | mit | Jupyter Notebook | |||||
| Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN | ||||||||||
| Chemical_vae | 383 | a year ago | 36 | apache-2.0 | Python | |||||
| Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow | ||||||||||
| Tensorflow Mnist Vae | 379 | 7 years ago | 6 | Python | ||||||
| Tensorflow implementation of variational auto-encoder for MNIST | ||||||||||
| Autoencoding_beyond_pixels | 350 | 7 years ago | 11 | mit | Python | |||||
| Generative image model with learned similarity measures | ||||||||||
| Cppn Gan Vae Tensorflow | 316 | 8 years ago | 1 | Python | ||||||
| Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images. | ||||||||||
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Python
Deep Learning
Network
Tensorflow
Generative Adversarial Network
Recurrent Neural Networks
Autoencoder
Vae
Adversarial Networks