Deep Gaussian Processes with Doubly Stochastic Variational Inference
☆151Feb 21, 2019Updated 7 years ago
Alternatives and similar repositories for Doubly-Stochastic-DGP
Users that are interested in Doubly-Stochastic-DGP are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes in Python☆233May 4, 2021Updated 4 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- ☆29Feb 15, 2019Updated 7 years ago
- Deep Gaussian Processes in matlab☆93Sep 14, 2021Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39May 30, 2019Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 8 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- Gaussian processes in TensorFlow☆1,902May 29, 2025Updated 9 months ago
- Deep convolutional gaussian processes.☆82Sep 4, 2019Updated 6 years ago
- Convolutional Gaussian processes based on GPflow.☆95Oct 31, 2017Updated 8 years ago
- Library for Deep Gaussian Processes based on GPflow☆18Mar 31, 2020Updated 5 years ago
- ☆26May 15, 2018Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)☆10Mar 23, 2015Updated 10 years ago
- Gaussian processes framework in python☆2,143Jun 19, 2025Updated 8 months ago
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 8 years ago
- Variational Sparse Spectrum Gaussian Process toolkit☆22Apr 7, 2015Updated 10 years ago
- Bayesian Optimization using GPflow☆274Dec 2, 2020Updated 5 years ago
- Tensor Switching Networks☆12Nov 2, 2017Updated 8 years ago
- Content Addressable Memory using dimensionality reduction☆13Apr 22, 2017Updated 8 years ago
- Heterogeneous Multi-output Gaussian Processes☆54May 4, 2020Updated 5 years ago
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 8 years ago
- Code for the Kaggle Marinexplore challenge☆17Apr 8, 2013Updated 12 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Dec 8, 2022Updated 3 years ago
- ☆40Apr 29, 2019Updated 6 years ago
- Forward Thinking NIPS 2017☆107Jan 25, 2018Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Nov 14, 2019Updated 6 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Oct 27, 2016Updated 9 years ago
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- Implementation of "Domain-adaptive deep network compression", ICCV 2017☆28Jul 12, 2018Updated 7 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Oct 16, 2024Updated last year
- ☆69May 26, 2018Updated 7 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Nov 5, 2018Updated 7 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Jul 4, 2024Updated last year
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 4 years ago
- BlackScholes Model, with Montecarlo implmented in python with TensorFlow☆18Jan 5, 2016Updated 10 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,835Mar 2, 2026Updated last week
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Apr 13, 2018Updated 7 years ago