AndrewAtanov / stochastic-batch-normalizationLinks
Uncertainty Estimation via Stochastic Batch Normalization
☆20Updated 7 years ago
Alternatives and similar repositories for stochastic-batch-normalization
Users that are interested in stochastic-batch-normalization are comparing it to the libraries listed below
Sorting:
- an implementation of L0 regularization with PyTorch☆57Updated 7 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- ☆237Updated 6 years ago
- ☆42Updated 6 years ago
- Hypergradient descent☆149Updated last year
- Sliced Wasserstein Generator☆39Updated 7 years ago
- ☆117Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- ☆91Updated 6 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆255Updated 2 years ago
- Masked Convolutional Flow☆59Updated 5 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 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 6 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago