447 Open source projects that are alternatives of or similar to Tensorflow Mnist Cvae

Learning about Haskell with Variational Autoencoders

Tensorflow implementation of variational auto-encoder for MNIST

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Collection of generative models in Tensorflow

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An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

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Tensorflow implementation of adversarial auto-encoder for MNIST

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Shared Latent Space VAE's

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Tensorflow 2.0 implementation of Adversarial Autoencoders

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

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Implementation of Sequential Attend, Infer, Repeat (SQAIR)

We got a stew going!

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Lagrangian VAE

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Comparison of Generative Models in Tensorflow

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Pytorch implementation of Hyperspherical Variational Auto-Encoders

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

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PyTorch implementation of "Auto-Encoding Variational Bayes"

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Next RecSys Library

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music generation with a classifying variational autoencoder (VAE) and LSTM

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Protein function prediction using a variational autoencoder