Generative image model with learned similarity measures
☆445Feb 21, 2017Updated 9 years ago
Alternatives and similar repositories for autoencoding_beyond_pixels
Users that are interested in autoencoding_beyond_pixels are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.☆439May 14, 2019Updated 6 years ago
- Adversarially Learned Inference☆311Aug 13, 2018Updated 7 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆192Dec 18, 2017Updated 8 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆127Sep 13, 2018Updated 7 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Mar 9, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational A…☆593Apr 18, 2017Updated 9 years ago
- Tools for using a variational auto-encoder for latent image encoding and generation.☆225Jun 2, 2025Updated 10 months ago
- Code for reproducing experiments in "Improved Training of Wasserstein GANs"☆2,408Jun 6, 2018Updated 7 years ago
- Code for the paper "Improved Techniques for Training GANs"☆2,335Nov 21, 2018Updated 7 years ago
- Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Advers…☆1,069Mar 25, 2021Updated 5 years ago
- VAE-GAN in Tensorflow☆90Mar 24, 2019Updated 7 years ago
- Implementation of Variational Auto-Encoder in Torch7☆266Dec 19, 2016Updated 9 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆70May 19, 2020Updated 5 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆257Mar 7, 2018Updated 8 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Torch Implemention of ECCV'16 paper: Attribute2Image☆94Feb 18, 2019Updated 7 years ago
- This is the project for LS-GAN (Loss-Sensitive GAN)☆215Mar 12, 2017Updated 9 years ago
- Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolutio…☆347Apr 8, 2021Updated 5 years ago
- Deep Convolutional Generative Adversarial Networks☆3,526May 8, 2019Updated 6 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆30Jan 1, 2016Updated 10 years ago
- ☆3,245Dec 26, 2018Updated 7 years ago
- Variational auto encoder + DCGAN using chainer☆27Nov 18, 2016Updated 9 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆531Nov 22, 2018Updated 7 years ago
- Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)☆39Jul 22, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- natural image generation using ConvNets☆597Oct 16, 2017Updated 8 years ago
- ☆164Jan 24, 2016Updated 10 years ago
- Theano reimplementation of pixelCNN architecture☆166Jul 23, 2016Updated 9 years ago
- Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.☆7,497Mar 24, 2024Updated 2 years ago
- A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"☆7,194Jan 6, 2021Updated 5 years ago
- Code for the paper "Adversarial Generator-Encoder Networks"☆287Jun 28, 2018Updated 7 years ago
- Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"☆181Jan 15, 2018Updated 8 years ago
- An implementation of the deep convolutional generative adversarial network, combined with a varational autoencoder☆108Mar 18, 2017Updated 9 years ago
- ☆205Nov 19, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆121Feb 28, 2017Updated 9 years ago
- Code for paper "Plug and Play Generative Networks"☆542Oct 8, 2018Updated 7 years ago
- A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.☆209Apr 4, 2017Updated 9 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆208Jan 26, 2016Updated 10 years ago
- Implementation of a Variational Auto-Encoder in Theano☆383Jul 9, 2017Updated 8 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆47Nov 8, 2019Updated 6 years ago
- in progress☆490Jun 2, 2019Updated 6 years ago