Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'
☆22Jan 2, 2014Updated 12 years ago
Alternatives and similar repositories for gprn
Users that are interested in gprn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Automated Variational Inference for Gaussian Process Models☆14Aug 18, 2015Updated 10 years ago
- Gaussian Process Regression Network code☆13Sep 3, 2013Updated 12 years ago
- Python library for Recurrent Gaussian Processes☆22Oct 20, 2017Updated 8 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆76Dec 3, 2025Updated 7 months ago
- Deep Gaussian Processes in matlab☆93Sep 14, 2021Updated 4 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.
- A SVR implementation using MATLAB quadprog☆11Aug 29, 2017Updated 8 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- ☆11Jun 17, 2016Updated 10 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Nov 27, 2016Updated 9 years ago
- Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)☆11Aug 23, 2021Updated 4 years ago
- This project uses Bayesian Optimization to find the optimal hyperparameters for a fully-connected feed-forward neural network used to est…☆11Oct 24, 2020Updated 5 years ago
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 9 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Nov 10, 2017Updated 8 years ago
- Peoplecott attempts to unveil the immoral behavior funded by brand loyalty.☆10Jun 29, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Variational Bayesian Canonical Correlation Analysis☆30Feb 27, 2017Updated 9 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- SCREW: A Reproducible Workflow for Single-Cell Epigenomics☆11Oct 22, 2017Updated 8 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Randomized Linear Algebra in Python☆13Mar 21, 2017Updated 9 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆20Mar 11, 2021Updated 5 years ago
- ☆15Jan 6, 2019Updated 7 years ago
- An Implementation of Antenna Optimization Using PSO Algorithm Combined with Matlab and HFSS☆21Aug 1, 2022Updated 3 years ago
- MCMC routines☆12Nov 22, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆11Apr 23, 2024Updated 2 years ago
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Repository containing the PhD Thesis "Formal Verification of Deep Reinforcement Learning Agents"☆11Aug 29, 2022Updated 3 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Dec 6, 2017Updated 8 years ago
- COBOL Guide☆21Jan 3, 2022Updated 4 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆15Dec 30, 2018Updated 7 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- Preconditioning Kernel Matrices☆16Jun 9, 2016Updated 10 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Nov 18, 2013Updated 12 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Reinforcement Learning applied to the Snake Game☆11Jul 17, 2014Updated 11 years ago
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 8 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆96Nov 23, 2017Updated 8 years ago
- ☆15Jul 6, 2023Updated 2 years ago
- Word文档自动刷格式☆13Aug 12, 2020Updated 5 years ago
- This Toolkit is the fastest way to train YOLO-v2 with your own custom dataset from scratch including annotating part☆15Oct 9, 2020Updated 5 years ago
- eugenbobrov / Adaptive-Regularized-Zero-Forcing-Beamforming-in-Massive-MIMO-with-Multi-Antenna-UsersModern wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This technology involves operations with …☆19Feb 16, 2023Updated 3 years ago