Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Generative Models | 6,010 | 5 years ago | 18 | unlicense | Python | |||||
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow. | ||||||||||
Tensorflow Generative Model Collections | 3,570 | 6 years ago | 22 | apache-2.0 | Python | |||||
Collection of generative models in Tensorflow | ||||||||||
Zhusuan | 2,139 | 2 years ago | 11 | mit | Python | |||||
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow | ||||||||||
Advanced Deep Learning With Keras | 1,534 | a year ago | 3 | mit | Python | |||||
Advanced Deep Learning with Keras, published by Packt | ||||||||||
Variational Autoencoder | 1,114 | 2 years ago | n,ull | mit | Python | |||||
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow) | ||||||||||
Variational Autoencoder | 1,049 | 2 years ago | 1 | mit | Python | |||||
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow) | ||||||||||
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). | ||||||||||
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 |