MinhyungCho / riemannian-batch-normalization-pytorch
Riemannian approach to batch normalization
☆21Updated 7 years ago
Alternatives and similar repositories for riemannian-batch-normalization-pytorch:
Users that are interested in riemannian-batch-normalization-pytorch are comparing it to the libraries listed below
- Riemannian approach to batch normalization☆18Updated 7 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Backpropagation-Friendly-Eigendecomposition☆71Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 7 years ago
- ☆81Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- ☆53Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Sliced Wasserstein Generator☆37Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 3 months ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 3 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- ☆46Updated 6 years ago
- Percentile computation for pytorch☆20Updated 4 years ago