A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
☆277Feb 4, 2020Updated 6 years ago
Alternatives and similar repositories for Cornell-MOE
Users that are interested in Cornell-MOE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆45Jun 8, 2019Updated 7 years ago
- gpbo☆25Jan 18, 2021Updated 5 years ago
- NeurIPS 2019 Paper☆12Dec 9, 2019Updated 6 years ago
- Bayesian Optimization using GPflow☆276Dec 2, 2020Updated 5 years ago
- ☆239Jul 25, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆19Apr 15, 2022Updated 4 years ago
- Bayesian optimization in PyTorch☆3,626Updated this week
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆45Sep 7, 2021Updated 5 years ago
- RoBO: a Robust Bayesian Optimization framework☆497Apr 30, 2019Updated 7 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆37Sep 23, 2017Updated 9 years ago
- Gaussian Process Optimization using GPy☆945Jan 17, 2023Updated 3 years ago
- Gaussian processes framework in python☆2,168Updated this week
- Bayesian Optimization Meets Bayesian Optimal Stopping☆33Oct 24, 2020Updated 5 years ago
- code for the ICML2018 paper "Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design"☆31Jul 9, 2018Updated 8 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆14Aug 20, 2019Updated 7 years ago
- Multi-Information Source Optimization☆24May 15, 2019Updated 7 years ago
- Efficient Hyper-parameter Tuning at Scale (VLDB'22)☆10Dec 1, 2021Updated 4 years ago
- Bayesian optimization for Python☆245Mar 2, 2022Updated 4 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,927Oct 2, 2026Updated 2 weeks ago
- ☆15Oct 25, 2021Updated 4 years ago
- GPareto cran package☆18Feb 8, 2026Updated 8 months ago
- Scalable Gaussian Process Regression with Derivatives☆40Dec 13, 2018Updated 7 years ago
- Additive Gaussian Process Bandits - version 1.0☆29Nov 29, 2016Updated 9 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.
- SAASBO: a package for high-dimensional bayesian optimization☆53Sep 16, 2021Updated 5 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆117Feb 28, 2023Updated 3 years ago
- Plumbing for Optimization with Asynchronous Parallelism☆13Aug 2, 2019Updated 7 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Nov 27, 2018Updated 7 years ago
- Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"☆27Nov 6, 2020Updated 5 years ago
- ☆18Dec 29, 2018Updated 7 years ago
- Gaussian processes in TensorFlow☆1,921Updated this week
- A Python implementation of global optimization with gaussian processes.☆8,720Oct 2, 2026Updated 2 weeks ago
- Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024)☆11Jan 6, 2025Updated last year
- 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.
- Numerical Black-Box Optimization Benchmarking Framework☆300Oct 9, 2026Updated last week
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,392Jul 21, 2017Updated 9 years ago
- Optimizing Hyperparameters with Conformal Quantile Regression☆11May 22, 2023Updated 3 years ago
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆677Aug 30, 2026Updated last month
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Nov 14, 2019Updated 6 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆34Jun 5, 2021Updated 5 years ago
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 9 years ago