Bayesian optimization for Python
☆246Mar 2, 2022Updated 4 years ago
Alternatives and similar repositories for pyGPGO
Users that are interested in pyGPGO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Gaussian Process Optimization using GPy☆949Jan 17, 2023Updated 3 years ago
- Bayesian Optimization using GPflow☆274Dec 2, 2020Updated 5 years ago
- A Python implementation of global optimization with gaussian processes.☆8,619Apr 1, 2026Updated last month
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆275Feb 4, 2020Updated 6 years ago
- RoBO: a Robust Bayesian Optimization framework☆489Apr 30, 2019Updated 7 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.
- Recommendation models that use binary rather than floating point operations at prediction time.☆21Sep 18, 2017Updated 8 years ago
- Python code for bayesian optimization using Gaussian processes☆315Dec 6, 2016Updated 9 years ago
- Estimators to perform off-policy evaluation☆13Sep 3, 2024Updated last year
- Decorator for PyMC3☆50Jun 11, 2021Updated 4 years ago
- Bayesian optimization in PyTorch☆3,518Apr 29, 2026Updated last week
- Gaussian processes framework in python☆2,151Jun 19, 2025Updated 10 months ago
- Reference implementation of Optimistic Expected Improvement.☆49May 17, 2020Updated 5 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,825Feb 23, 2024Updated 2 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆433Mar 14, 2023Updated 3 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.
- Spearmint Bayesian optimization codebase☆1,568Dec 27, 2019Updated 6 years ago
- Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX☆15Mar 16, 2017Updated 9 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆326Oct 2, 2020Updated 5 years ago
- Gaussian processes in TensorFlow☆1,907May 29, 2025Updated 11 months ago
- Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)☆14Jun 20, 2018Updated 7 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆524Sep 22, 2021Updated 4 years ago
- A global, black box optimization engine for real world metric optimization.☆1,320Mar 24, 2023Updated 3 years ago
- 🔥 PyTorch implementation of GNINA scoring function for molecular docking☆73Apr 21, 2026Updated 2 weeks ago
- A Bayesian optimization toolbox built on TensorFlow☆248Apr 28, 2026Updated last week
- 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.
- Code for Fast Information-theoretic Bayesian Optimisation☆16Jun 7, 2018Updated 7 years ago
- HTMD: Programming Environment for Molecular Discovery☆274Updated this week
- Bayesian dessert for Lasagne☆83Jun 25, 2017Updated 8 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,222Apr 28, 2026Updated last week
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Nov 10, 2017Updated 8 years ago
- ☆19Oct 27, 2020Updated 5 years ago
- Datasets for open forcefield parameterization and development☆11Sep 22, 2019Updated 6 years ago
- An open source python library for scalable Bayesian optimisation.☆894Jun 19, 2023Updated 2 years ago
- Code repository for Ensemble Bayesian Optimization☆59Jul 18, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆880Jun 15, 2020Updated 5 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,875May 1, 2026Updated last week
- ☆51Jul 25, 2024Updated last year
- Notebooks about Bayesian methods for machine learning☆1,916Mar 6, 2024Updated 2 years ago
- ☆13Sep 8, 2021Updated 4 years ago
- A fully decentralized hyperparameter optimization framework☆123Jul 18, 2024Updated last year
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Oct 4, 2021Updated 4 years ago