Deep Gaussian Processes in Python
☆232Oct 14, 2026Updated 2 weeks ago
Alternatives and similar repositories for PyDeepGP
Users that are interested in PyDeepGP 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 with Doubly Stochastic Variational Inference☆154Feb 21, 2019Updated 7 years ago
- Deep Gaussian Processes in matlab☆93Sep 14, 2021Updated 5 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 9 years ago
- Gaussian processes framework in python☆2,170Updated this week
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Gaussian processes in TensorFlow☆1,921Oct 15, 2026Updated 2 weeks ago
- ☆28Feb 15, 2019Updated 7 years ago
- Deep convolutional gaussian processes.☆82Sep 4, 2019Updated 7 years ago
- Deep GPs with GPy☆31May 18, 2016Updated 10 years ago
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 6 years ago
- Convolutional Gaussian processes based on GPflow.☆95Oct 31, 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
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆250Aug 2, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Library for Deep Gaussian Processes based on GPflow☆18Mar 31, 2020Updated 6 years ago
- Variational Fourier Features☆88Jun 16, 2021Updated 5 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,931Oct 2, 2026Updated 3 weeks ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆131Sep 30, 2026Updated last month
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆20Nov 1, 2021Updated 4 years ago
- ☆40Apr 29, 2019Updated 7 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Dec 16, 2022Updated 3 years ago
- Heterogeneous Multi-output Gaussian Processes☆55May 4, 2020Updated 6 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆84Jul 8, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆73Jul 8, 2016Updated 10 years ago
- ☆23Mar 12, 2018Updated 8 years ago
- ☆11Dec 16, 2018Updated 7 years ago
- Scalable Gaussian Process Regression with Derivatives☆40Dec 13, 2018Updated 7 years ago
- A community repository for benchmarking Bayesian methods☆113Nov 29, 2021Updated 4 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆58Nov 17, 2025Updated 11 months ago
- A Bayesian optimization toolbox built on TensorFlow☆254Oct 15, 2026Updated 2 weeks ago
- ☆12Jun 5, 2015Updated 11 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- State-space deep Gaussian processes in Python and Matlab☆31Jun 12, 2022Updated 4 years ago
- Gaussian Process Optimization using GPy☆944Jan 17, 2023Updated 3 years ago
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆679Aug 30, 2026Updated last month
- Code for efficiently sampling functions from GP(flow) posteriors☆76Nov 13, 2020Updated 5 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Jun 26, 2015Updated 11 years ago
- Bayesian Optimization using GPflow☆276Dec 2, 2020Updated 5 years ago
- Collection of jupyter notebooks for demonstrating software.☆170Oct 10, 2026Updated 2 weeks ago