Deep Gaussian Processes in Python
☆233May 4, 2021Updated 4 years ago
Alternatives and similar repositories for PyDeepGP
Users that are interested in PyDeepGP are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Feb 21, 2019Updated 7 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 8 years ago
- Deep Gaussian Processes in matlab☆93Sep 14, 2021Updated 4 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- Gaussian processes framework in python☆2,141Jun 19, 2025Updated 8 months ago
- Gaussian processes in TensorFlow☆1,901May 29, 2025Updated 9 months ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39May 30, 2019Updated 6 years ago
- Variational Fourier Features☆87Jun 16, 2021Updated 4 years ago
- ☆29Feb 15, 2019Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Deep neural network kernel for Gaussian process☆211Sep 8, 2020Updated 5 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Nov 23, 2017Updated 8 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Oct 16, 2024Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,834Updated this week
- Deep GPs with GPy☆31May 18, 2016Updated 9 years ago
- Code for the Kaggle Marinexplore challenge☆17Apr 8, 2013Updated 12 years ago
- Library for Deep Gaussian Processes based on GPflow☆18Mar 31, 2020Updated 5 years ago
- Multi-Output Gaussian Process Toolkit☆186Jun 4, 2025Updated 8 months ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆84Jul 8, 2024Updated last year
- customized GPflow with simple Tensorflow API☆17Aug 7, 2019Updated 6 years ago
- Convolutional Gaussian processes based on GPflow.☆95Oct 31, 2017Updated 8 years ago
- Heterogeneous Multi-output Gaussian Processes☆54May 4, 2020Updated 5 years ago
- Gaussian Process Optimization using GPy☆949Jan 17, 2023Updated 3 years ago
- ☆40Apr 29, 2019Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆73Jul 8, 2016Updated 9 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆189Jun 29, 2014Updated 11 years ago
- Talks from Neil Lawrence☆54Nov 8, 2023Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- ☆19Aug 30, 2013Updated 12 years ago
- ☆13Jul 17, 2023Updated 2 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆54Nov 17, 2025Updated 3 months ago
- A Bayesian optimization toolbox built on TensorFlow☆248Jan 14, 2026Updated last month
- Scalable Gaussian Process Regression with Derivatives☆38Dec 13, 2018Updated 7 years ago
- Bayesian Optimization using GPflow☆274Dec 2, 2020Updated 5 years ago
- ☆12Jun 5, 2015Updated 10 years ago
- Fast and flexible Gaussian Process regression in Python☆460Updated this week
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Apr 12, 2023Updated 2 years ago
- Collection of jupyter notebooks for demonstrating software.☆167Apr 2, 2023Updated 2 years ago
- Collapsed Variational Bayes☆72Sep 27, 2019Updated 6 years ago