BorealisAI / bre-ganLinks
Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang
☆20Updated 7 years ago
Alternatives and similar repositories for bre-gan
Users that are interested in bre-gan are comparing it to the libraries listed below
Sorting:
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- ☆32Updated 7 years ago
- An implementation of shampoo☆77Updated 7 years ago
- Non-Adversarial Unsupervised Domain Mapping☆39Updated 6 years ago
- ☆34Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- ☆13Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 6 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- ☆46Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆48Updated 7 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- The Limited Multi-Label Projection Layer☆59Updated last year