anthonycaterini / hvae-nipsLinks
Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018
☆14Updated 5 years ago
Alternatives and similar repositories for hvae-nips
Users that are interested in hvae-nips are comparing it to the libraries listed below
Sorting:
- Code release for the ICLR paper☆20Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 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
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- ☆30Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆37Updated 5 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- ☆42Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- The code for Meta Learning for SGMCMC☆25Updated 6 years ago