☆28Feb 15, 2019Updated 7 years ago
Alternatives and similar repositories for sghmc_dgp
Users that are interested in sghmc_dgp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Library for Deep Gaussian Processes based on GPflow☆18Mar 31, 2020Updated 6 years ago
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- Stochastic Gradient Hamiltonian Monte Carlo☆12Nov 16, 2019Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆37May 30, 2019Updated 7 years ago
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆20Nov 1, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- Code for AutoGP☆27Jul 19, 2019Updated 7 years ago
- Deep Gaussian Processes in Python☆232May 4, 2021Updated 5 years ago
- ☆40Apr 29, 2019Updated 7 years ago
- Deep Gaussian Processes in matlab☆93Sep 14, 2021Updated 4 years ago
- ☆10Apr 28, 2017Updated 9 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 7 years ago
- Examples for using Amazon SageMaker Operators for Kubernetes☆12Mar 4, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317☆16Oct 31, 2018Updated 7 years ago
- Automated Variational Inference for Gaussian Process Models☆14Aug 18, 2015Updated 10 years ago
- ImageJ plugins for blind decomposition of fluorencence microscopy data☆10Mar 24, 2015Updated 11 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated 2 years ago
- Bayesian Committee Machines in Python with GPy and multiprocessing☆20Feb 16, 2019Updated 7 years ago
- ☆26May 15, 2018Updated 8 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆23Mar 7, 2021Updated 5 years ago
- Gaussian Process Regression Network code☆13Sep 3, 2013Updated 12 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆95Oct 28, 2020Updated 5 years ago
- MCMC routines☆12Nov 22, 2022Updated 3 years ago
- My YAML cv and resume.☆17May 10, 2026Updated 2 months ago
- Repo for a paper about constructing priors on very deep models.☆73Jul 8, 2016Updated 10 years ago
- Bayesian neural network package☆156Jul 6, 2021Updated 5 years ago
- Toy codes to kick-start deep learning for NLP !☆12Aug 22, 2016Updated 9 years ago
- A step-by-step problem set for implementing a high-quality deep dependency parser in Pytorch☆15Aug 12, 2017Updated 8 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Aug 16, 2021Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 9 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 5 years ago
- This repository contains the code for the paper "Can Transformers Learn Full Bayesian Inference In Context?"☆16Apr 6, 2025Updated last year
- Custom gazebo_ros_control simulation plugin that can add latency to communication between ros_control and gazebo☆16Mar 8, 2021Updated 5 years ago
- Image super-resolution through deep learning☆20May 18, 2017Updated 9 years ago
- ☆15Oct 25, 2021Updated 4 years ago
- ☆14Sep 11, 2022Updated 3 years ago