ndrplz / small_norbLinks
Python wrapper to small NORB dataset
☆50Updated 2 years ago
Alternatives and similar repositories for small_norb
Users that are interested in small_norb are comparing it to the libraries listed below
Sorting:
- DRAW: A Recurrent Neural Network For Image Generation☆66Updated 6 years ago
- ☆123Updated 5 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Updated 8 years ago
- Replicating "Understanding disentangling in β-VAE"☆200Updated 7 years ago
- An adversarial autoencoder implementation in pytorch☆85Updated 6 years ago
- dcgan combined with vae in pytorch!☆117Updated 7 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated 2 years ago
- implement infoGAN using pytorch☆153Updated 7 years ago
- Collection of GAN models in Pytorch☆16Updated 8 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 7 years ago
- Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…☆39Updated 7 years ago
- Quantitative evaluation of disentangled representations☆63Updated 7 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆82Updated 5 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 7 years ago
- Sliced Wasserstein Generator☆39Updated 7 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- Improving MMD-GAN training with repulsive loss function☆91Updated 3 years ago
- ☆104Updated 7 years ago
- ☆61Updated 7 years ago
- Training MMD GANs.☆86Updated 7 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆151Updated 8 years ago
- PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016☆73Updated 8 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆73Updated 7 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- Disconnected Manifold Learning for Generative Adversarial Networks.☆13Updated 6 years ago
- Implementation of VLAE☆216Updated 7 years ago
- ☆353Updated 5 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 3 years ago
- code for "Adversarial Feature Learning"☆239Updated 3 years ago