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Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
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Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
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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.
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7 years ago8apache-2.0Python
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).
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Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
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Tensorflow implementation of variational auto-encoder for MNIST
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