devzhk / Implicit-Competitive-RegularizationLinks
Code for: Implicit Competitive Regularization in GANs
☆116Updated 4 years ago
Alternatives and similar repositories for Implicit-Competitive-Regularization
Users that are interested in Implicit-Competitive-Regularization are comparing it to the libraries listed below
Sorting:
- Prescribed Generative Adversarial Networks☆143Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- Hypergradient descent☆147Updated last year
- Implements stochastic line search☆118Updated 2 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆179Updated 5 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆53Updated 4 years ago
- Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder☆160Updated 5 years ago
- Loss Patterns of Neural Networks☆86Updated 4 years ago
- Code for paper "Adversarial score matching and improved sampling for image generation"☆125Updated 2 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 7 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 6 years ago
- code to reproduce the empirical results in the research paper☆37Updated 4 years ago
- ☆135Updated 8 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- ☆32Updated 7 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- ☆124Updated 8 years ago
- ☆181Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- A PyTorch implementation of the VQ-VAE-2 paper☆75Updated 6 years ago
- Understanding normalizing flows☆132Updated 6 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks