Library for Deep Gaussian Processes based on GPflow
☆18Mar 31, 2020Updated 6 years ago
Alternatives and similar repositories for dgplib
Users that are interested in dgplib are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆28Feb 15, 2019Updated 7 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Jun 26, 2015Updated 10 years ago
- Code for AutoGP☆27Jul 19, 2019Updated 6 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
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆153Feb 21, 2019Updated 7 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆32Jul 6, 2017Updated 8 years ago
- Deep convolutional gaussian processes.☆82Sep 4, 2019Updated 6 years ago
- Deep Gaussian Processes in Python☆233May 4, 2021Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 6 years ago
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Gaussian Processes for Sequential Data☆19Dec 12, 2020Updated 5 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 3 years ago
- Structure Generator based on R-Group (SGRG)☆10Sep 28, 2019Updated 6 years ago
- ☆11Jun 8, 2018Updated 7 years ago
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- PROTAC-Splitter is a machine learning framework designed for automated annotation of PROTAC substructures.☆23Jul 13, 2025Updated 9 months ago
- ☆10Nov 17, 2020Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 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.
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 7 years ago
- Streaming sparse Gaussian process approximations☆69Oct 5, 2022Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Jun 21, 2019Updated 6 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Feb 20, 2018Updated 8 years ago
- Examples for using Amazon SageMaker Operators for Kubernetes☆12Mar 4, 2020Updated 6 years ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Jun 7, 2022Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Jul 27, 2021Updated 4 years ago
- Numpyro examples in Python notebooks☆11Sep 7, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- ImageJ plugins for blind decomposition of fluorencence microscopy data☆10Mar 24, 2015Updated 11 years ago
- Transformer in Chemical Language Model sometimes misunderstands chirality☆13Apr 19, 2024Updated last year
- ☆13Apr 23, 2019Updated 6 years ago
- The inverse materials design is a key topic of materials science nowadays. The proposed software solutions are useful tools for decision …☆11Jul 15, 2020Updated 5 years ago
- [OpenEDM] Arc Generator Project☆18Apr 3, 2026Updated last week