π€Ώ Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
β25Feb 11, 2024Updated 2 years ago
Alternatives and similar repositories for Deep-Gaussian-Process
Users that are interested in Deep-Gaussian-Process are comparing it to the libraries listed below
Sorting:
- Library for Deep Gaussian Processes based on GPflowβ18Mar 31, 2020Updated 5 years ago
- β15Jul 6, 2023Updated 2 years ago
- Scalable Gaussian Process Regression with Derivativesβ39Dec 13, 2018Updated 7 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflowβ128Oct 16, 2024Updated last year
- A Tensorflow based library for Time Series Modelling with Gaussian Processesβ32Jul 4, 2024Updated last year
- Deep Gaussian Processes in Pythonβ233May 4, 2021Updated 4 years ago
- Code for paper Stochastic Deep Gaussian Processes over Graphsβ21Nov 1, 2021Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inferenceβ39May 30, 2019Updated 6 years ago
- Code for the paper Multi-task Causal Learning with Gaussian Processes (https://arxiv.org/pdf/2009.12821.pdf)β13Oct 17, 2020Updated 5 years ago
- Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.β17Jan 28, 2025Updated last year
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variablesβ13Aug 11, 2017Updated 8 years ago
- Machine learning of linear differential equations using Gaussian processesβ26May 2, 2018Updated 7 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021β25Dec 19, 2022Updated 3 years ago
- β40Apr 29, 2019Updated 6 years ago
- K-means clustering for large single-cell datasetsβ12Feb 10, 2026Updated last month
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'β38Oct 13, 2018Updated 7 years ago
- Efficient non-linear PCA through kernel PCA with the NystrΓΆm methodβ13May 19, 2023Updated 2 years ago
- Recyclable Gaussian Processesβ11Dec 8, 2022Updated 3 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processesβ13Oct 30, 2024Updated last year
- β11Mar 13, 2023Updated 3 years ago
- Repo for a paper about constructing priors on very deep models.β73Jul 8, 2016Updated 9 years ago
- Tensorflow implementation for the SVGP-VAE model.β22Jul 19, 2021Updated 4 years ago
- β29Feb 15, 2019Updated 7 years ago
- State-space deep Gaussian processes in Python and Matlabβ30Jun 12, 2022Updated 3 years ago
- Repository containing the PhD Thesis "Formal Verification of Deep Reinforcement Learning Agents"β11Aug 29, 2022Updated 3 years ago
- MTH225 Statistics for Science Spring 2016β12May 13, 2016Updated 9 years ago
- randomized SVD with single pass over data matrixβ10Apr 23, 2023Updated 2 years ago
- Experiments for "A Closer Look at In-Context Learning under Distribution Shifts"β19May 29, 2023Updated 2 years ago
- PDF Diff Viewer, a side-by-side, visual highlight, sync-scroll, PDF comparer, written in Python. Open source, mostly powered by PyMuPDF aβ¦β41Jan 31, 2026Updated last month
- Fast interpolative decompositions in Pythonβ10Jan 4, 2021Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Modelβ70Jan 17, 2025Updated last year
- Contrastive Poisson latent variable models (CPLVMs)β11Feb 7, 2022Updated 4 years ago
- Run Jupyter lab as a desktop appβ12Feb 27, 2018Updated 8 years ago
- Nonparametric Score Estimators, ICML 2020β36Jun 25, 2021Updated 4 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".β55Nov 17, 2025Updated 4 months ago
- Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)β16Nov 17, 2022Updated 3 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.β14Jul 12, 2021Updated 4 years ago
- R Package for Unconstrained Numerical Optimizationβ11Mar 15, 2026Updated last week
- β23Dec 21, 2022Updated 3 years ago