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Search results for mnist generative model

generative-model x

25 search results found

Tensorflow Generative Model Collections ⭐ 3,570

Collection of generative models in Tensorflow

[CVPR2020] Adversarial Latent Autoencoders

Pytorch Vqvae ⭐ 679

Vector Quantized VAEs - PyTorch Implementation

Joint Vae ⭐ 384

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Tf Vqvae ⭐ 205

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Variational Ladder Autoencoder ⭐ 198

Implementation of VLAE

Twostagevae ⭐ 160

Generative Models ⭐ 92

Comparison of Generative Models in Tensorflow

Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.

Vae For Image Generation ⭐ 75

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

AdaGAN: greedy iterative procedure to train mixtures of GANs

MisGAN: Learning from Incomplete Data with GANs

Official implementation of the paper Stochastic Latent Residual Video Prediction

Multimodal Vae Public ⭐ 52

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding"

Generative Model ⭐ 46

Repository for implementation of generative models with Tensorflow 1.x

Generative_continual_learning ⭐ 33

Mnist_generative ⭐ 28

Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.

Auxiliary Deep Generative Models ⭐ 25

Implementation of auxiliary deep generative models for semi-supervised learning

Mnist_inception_score ⭐ 22

Training a MNIST classifier, and use it to compute inception score (ICP)

Ss Infogan ⭐ 19

Semi-supervised InfoGAN

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Generativemodels.jl ⭐ 16

Generative Models with trainable conditional distributions in Julia!

Pytorch Mnist Gan ⭐ 15

Pytorch Mnist Vae ⭐ 14

Pytorch In Theano ⭐ 14

Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).

Mmdcgm Ssl ⭐ 11

mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learning

Generative_model_testbed.tensorflow ⭐ 10

Experimental framework for GAN/VAE research

Code for "MIM: Mutual Information Machine" paper.

VAE + Quantile Networks for MNIST

Attend Infer Repeat Pytorch ⭐ 9

Attend Infer Repeat (AIR) in PyTorch

Variational Autoencoder ⭐ 7

Tensorflow implementation of Variational Auto-Encoder

Generative Models ⭐ 7

Tutorial on deep generative models with experiments on MNIST

Vae Tensorflow ⭐ 6

TensorFlow implementation of Auto-Encoding Variational Bayes.

Demo Cvae ⭐ 5

An interactive demonstration of using a deep conditional variational autoencoder to generate synthetic MNIST style handwriting digit

Pytorch Mnist Cvae ⭐ 5

Keras Mnist Vae ⭐ 5

Mnist Gan ⭐ 5

Generative Adversarial Networks for the MNIST dataset

Keras Mnist Cvae ⭐ 5

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