SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
☆1,230Jun 30, 2026Updated this week
Alternatives and similar repositories for SMAC3
Users that are interested in SMAC3 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- a distributed Hyperband implementation on Steroids☆630Oct 16, 2022Updated 3 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆225May 28, 2026Updated last month
- RoBO: a Robust Bayesian Optimization framework☆490Apr 30, 2019Updated 7 years ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆99Mar 31, 2026Updated 3 months ago
- ☆69Aug 5, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆91Jan 27, 2026Updated 5 months ago
- Collection of hyperparameter optimization benchmark problems☆169May 21, 2025Updated last year
- Automated Machine Learning with scikit-learn☆8,114Apr 21, 2026Updated 2 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,830Feb 23, 2024Updated 2 years ago
- [deprecated] Configuration Assessment, Visualization and Evaluation☆46Jan 6, 2026Updated 5 months ago
- Parameter Importance Analysis Tool☆77Mar 26, 2021Updated 5 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,587Jun 8, 2026Updated 3 weeks ago
- simple python interface to SMAC.☆21Mar 27, 2018Updated 8 years ago
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,537Apr 9, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Spearmint Bayesian optimization codebase☆1,569Dec 27, 2019Updated 6 years ago
- Surrogate benchmarks for HPO problems☆33May 26, 2025Updated last year
- A benchmark library for Dynamic Algorithm Configuration.☆37May 11, 2026Updated last month
- ☆39Sep 3, 2024Updated last year
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Jun 17, 2020Updated 6 years ago
- Hyper-parameter optimization for sklearn☆1,648Apr 15, 2025Updated last year
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Jul 21, 2017Updated 8 years ago
- A Python implementation of global optimization with gaussian processes.☆8,660Jun 17, 2026Updated 2 weeks ago
- Tuning hyperparams fast with Hyperband☆598Aug 15, 2018Updated 7 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.
- Bayesian optimization in PyTorch☆3,562Jun 23, 2026Updated last week
- A global, black box optimization engine for real world metric optimization.☆1,318Mar 24, 2023Updated 3 years ago
- Gaussian Process Optimization using GPy