LMescheder / TheNumericsOfGANsLinks
This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".
☆46Updated 6 years ago
Alternatives and similar repositories for TheNumericsOfGANs
Users that are interested in TheNumericsOfGANs are comparing it to the libraries listed below
Sorting:
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 4 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- ☆46Updated 7 years ago
- Sliced Wasserstein Generator☆38Updated 7 years ago
- ☆42Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for the paper "Improving GANs Using Optimal Transport"☆72Updated 6 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆27Updated 6 years ago
- ☆133Updated 7 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- ☆32Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 7 months ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- ☆37Updated 5 years ago