Python package for Preference Learning with Gaussian Processes.
☆36Sep 1, 2025Updated 11 months ago
Alternatives and similar repositories for GPro
Users that are interested in GPro are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆38Mar 24, 2024Updated 2 years ago
- Projective Preferential Bayesian Optimization☆20Jul 6, 2023Updated 3 years ago
- Simulations for Dueling Bandit Algorithms, including our Double Thompson Sampling (D-TS) algorithms☆25Sep 27, 2016Updated 9 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Aug 5, 2025Updated last year
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Jul 25, 2018Updated 8 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.
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆23Mar 24, 2023Updated 3 years ago
- A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?☆18Jun 22, 2025Updated last year
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆30May 29, 2019Updated 7 years ago
- Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, publi…☆14Jun 22, 2023Updated 3 years ago
- ☆14Sep 30, 2022Updated 3 years ago
- Experimental code for the paper 'Finding Convincing Arguments Using Scalable Bayesian Preference Learning'☆13Dec 8, 2022Updated 3 years ago
- Run adaptive decision making experiments☆16Nov 9, 2021Updated 4 years ago
- ☆18Jun 10, 2022Updated 4 years ago
- Bayesian algorithm execution (BAX)☆56Sep 3, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Building and evaluating a ranking model using the MSLR-WEB10K dataset☆14Feb 17, 2021Updated 5 years ago
- Code for the paper: Kernel Distributionally Robust Optimization☆13Feb 21, 2021Updated 5 years ago
- Code for "Semantic Perturbations with Normalizing Flows for Improved Generalization"☆11Jul 13, 2021Updated 5 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆46Jun 14, 2021Updated 5 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- FlowMatic: An Immersive Authoring Tool for Creating Interactive Scenes in Virtual Reality☆12Dec 1, 2023Updated 2 years ago
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- Gaussian Processes regression and classification implementations, as well as notebook for accompanying blog. Blog static site:☆11Jul 16, 2018Updated 8 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Apr 16, 2021Updated 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.
- Repository for the paper "Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature"☆14Apr 3, 2024Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated 10 months ago
- Python Jupyter Notebooks for robotics algorithm☆10Jun 5, 2022Updated 4 years ago
- Psi and psi-marginal adaptive staircase procedure for use in psychophysics.☆12Jul 26, 2017Updated 9 years ago
- Implementation of Thompson Sampling in Python☆15Feb 4, 2020Updated 6 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆44Apr 12, 2023Updated 3 years ago
- Library for Bayesian Quadrature☆32Apr 2, 2019Updated 7 years ago
- ☆14Sep 11, 2022Updated 3 years ago
- Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.☆12Oct 13, 2022Updated 3 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.
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- (ICML2023) Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes☆17Jul 26, 2023Updated 3 years ago
- This repository hosts solution code for the racetrack problem in reinforcement learning.☆11Jul 17, 2025Updated last year
- Companion code release to "Bayesian Optimization of Function Networks", published in NeurIPS 2021.☆12Jan 12, 2025Updated last year
- The repository contains code for the project "Explain the uncertain: Stochastic Shapley Values for Gaussian Process Models"☆18Jul 30, 2024Updated 2 years ago
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- ☆15Jun 10, 2022Updated 4 years ago