markvdw / GPflow-inter-domainLinks
Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
☆13Updated 8 years ago
Alternatives and similar repositories for GPflow-inter-domain
Users that are interested in GPflow-inter-domain are comparing it to the libraries listed below
Sorting:
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 7 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 8 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Updated last year
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- ☆24Updated 6 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Black Box Variational Inference for Bayesian logistic regression☆18Updated 8 years ago
- ☆40Updated 6 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 10 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 3 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆122Updated 6 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- The collection of recent papers about variational inference☆84Updated 6 years ago
- ☆90Updated 3 years ago
- ☆11Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Updated 8 years ago
- Code for my ICML 2019 paper "Correlated Variational Auto-Encoders"☆15Updated 6 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- Modeling the asynchronous event sequence via Recurrent Point Process☆61Updated 7 years ago
- ☆26Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆301Updated 9 years ago