Deep GPs with GPy
☆31May 18, 2016Updated 10 years ago
Alternatives and similar repositories for deepGPy
Users that are interested in deepGPy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Gaussian Processes in matlab☆93Sep 14, 2021Updated 4 years ago
- ☆11Sep 20, 2016Updated 9 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Sep 12, 2019Updated 6 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Jan 23, 2024Updated 2 years ago
- My PhD Thesis☆22May 13, 2016Updated 10 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.
- MISSION: Ultra Large-Scale Feature Selection using Count-Sketches☆13Oct 6, 2019Updated 6 years ago
- Code for Max-Margin Deep Generative Models☆12Jan 1, 2015Updated 11 years ago
- Deep Gaussian Processes in Python☆233May 4, 2021Updated 5 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Feb 21, 2018Updated 8 years ago
- Python library for working with graphons☆23Sep 19, 2017Updated 8 years ago
- ☆23Mar 12, 2018Updated 8 years ago
- Yet another tensor library☆23Mar 29, 2017Updated 9 years ago
- Gaussian processes framework in python☆2,158Jun 19, 2025Updated 11 months ago
- Talks from Neil Lawrence☆54Nov 8, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 11 years ago
- A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system☆15Nov 15, 2023Updated 2 years ago
- Represent modular arithmetic via clock symbols☆23Nov 22, 2021Updated 4 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Mar 13, 2017Updated 9 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Sep 25, 2015Updated 10 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- a repository containing everything relevant to our fast non-negative deconvolution work☆35Nov 28, 2016Updated 9 years ago
- code for Structured Variational Autoencoders☆351Aug 22, 2018Updated 7 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.
- Fast autodiff.☆20Jan 29, 2015Updated 11 years ago
- Convenient hyperparameter optimization☆14Apr 30, 2024Updated 2 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Sep 17, 2019Updated 6 years ago
- Data mining project to predict stock prices on basis of sentiments.☆11Apr 2, 2016Updated 10 years ago
- Collection of scripts for doing common transformations in machine learning☆21Dec 5, 2012Updated 13 years ago
- First attempt to use the previous CPPN-GAN-VAE model to train on CIFAR-10 images.☆39Apr 6, 2016Updated 10 years ago
- Reimplementation of DRAW☆346Aug 25, 2016Updated 9 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38May 30, 2019Updated 6 years ago
- Materials for a tutorial on Battery Data Science and MRS SP22☆16May 8, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- An implementation of gibbs sampling for Latent Dirichlet Allocation☆30Aug 3, 2011Updated 14 years ago
- Implementation of Paper 'Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning' by…☆12Sep 28, 2020Updated 5 years ago
- This is a website clone of the Google Art Project Extension to be used as startpage for tabs (e.g Safari, Firefox, etc)☆11Jun 19, 2017Updated 8 years ago
- Reinforcement learning with Rust☆14Jul 31, 2022Updated 3 years ago
- Crino: a neural-network library based on Theano☆12Mar 8, 2016Updated 10 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Jan 27, 2015Updated 11 years ago
- Deep neural network implemented with gnumpy/cudamat☆16Dec 9, 2013Updated 12 years ago