A Python implementation of global optimization with gaussian processes.
☆8,711Aug 21, 2026Updated 3 weeks ago
Alternatives and similar repositories for BayesianOptimization
Users that are interested in BayesianOptimization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,597Updated this week
- Bayesian optimization in PyTorch☆3,599Sep 8, 2026Updated last week
- Sequential model-based optimization with a `scipy.optimize` interface☆2,829Feb 23, 2024Updated 2 years ago
- Gaussian Process Optimization using GPy☆944Jan 17, 2023Updated 3 years ago
- Spearmint Bayesian optimization codebase☆1,573Dec 27, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A game theoretic approach to explain the output of any machine learning model.☆25,760Updated this week
- A hyperparameter optimization framework☆14,810Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,911Jul 10, 2026Updated 2 months ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,775Updated this week
- Gaussian processes framework in python☆2,165Aug 8, 2026Updated last month
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single…☆28,777Updated this week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,121Jun 29, 2026Updated 2 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,053Sep 11, 2025Updated last year
- Bayesian Modeling and Probabilistic Programming in Python☆9,756Updated this 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.
- Automated Machine Learning with scikit-learn☆8,131Updated this week
- Gaussian processes in TensorFlow☆1,917Aug 10, 2026Updated last month
- Deep universal probabilistic programming with Python and PyTorch☆9,056Sep 7, 2026Updated last week
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,844Mar 18, 2024Updated 2 years ago
- Open-source implementation of Google Vizier for hyper parameters tuning☆1,563Nov 11, 2019Updated 6 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆437Mar 14, 2023Updated 3 years ago
- Hyper-parameter optimization for sklearn☆1,647Apr 15, 2025Updated last year
- Notebooks about Bayesian methods for machine learning☆1,917Jul 12, 2026Updated 2 months ago
- A Python toolbox for performing gradient-free optimization☆4,207Jul 24, 2026Updated last month
- 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.
- 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
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆43,864Updated this week
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,175Sep 8, 2026Updated last week
- Automatic extraction of relevant features from time series:☆9,424Jul 6, 2026Updated 2 months ago
- Bayesian Optimization using xgboost and sklearn API☆226Mar 10, 2016Updated 10 years ago
- An open source python library for automated feature engineering☆7,680Sep 11, 2026Updated last week
- RoBO: a Robust Bayesian Optimization framework☆495Apr 30, 2019Updated 7 years ago
- Efficiently computes derivatives of NumPy code.☆7,531Updated this week
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆9,106Updated this 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.
- A scikit-learn compatible neural network library that wraps PyTorch☆6,179Sep 8, 2026Updated last week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,312Updated this week
- Python code for bayesian optimization using Gaussian processes☆316Dec 6, 2016Updated 9 years ago
- A library of sklearn compatible categorical variable encoders☆2,502Sep 8, 2026Updated last week
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,246Updated this week
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,191Jun 25, 2024Updated 2 years ago
- Bayesian Optimization using GPflow☆275Dec 2, 2020Updated 5 years ago