ssydasheng / GPflow-SlimLinks
customized GPflow with simple Tensorflow API
☆17Updated 5 years ago
Alternatives and similar repositories for GPflow-Slim
Users that are interested in GPflow-Slim are comparing it to the libraries listed below
Sorting:
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- ☆37Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- ☆13Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 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
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆27Updated 6 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago