ChunyuanLI / MNIST_Inception_Score
Training a MNIST classifier, and use it to compute inception score (ICP)
☆26Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for MNIST_Inception_Score
- GANs with multiple Discriminators☆78Updated last year
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆79Updated 7 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆165Updated 7 years ago
- ☆48Updated 6 years ago
- implementation for NIPS paper Triangle Generative Adversarial Networks☆62Updated 6 years ago
- Adversarially Learned Inference in Pytorch☆30Updated 7 years ago
- dcgan combined with vae in pytorch!☆117Updated 6 years ago
- implement infoGAN using pytorch☆151Updated 6 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆181Updated 7 years ago
- VAE-GAN in Tensorflow☆91Updated 5 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆89Updated 6 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Updated 7 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆128Updated 6 years ago
- Replicating "Understanding disentangling in β-VAE"☆195Updated 6 years ago
- code for "Adversarial Feature Learning"☆237Updated 2 years ago
- Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)☆251Updated 7 years ago
- Variational Auto Encoder☆39Updated 7 years ago
- Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVER…☆153Updated 5 years ago
- Disconnected Manifold Learning for Generative Adversarial Networks.☆13Updated 5 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 6 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 6 years ago
- Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…☆39Updated 6 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆96Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 6 years ago
- Collection of GAN models in Pytorch☆16Updated 7 years ago
- Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"☆95Updated 6 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆121Updated 6 years ago