Categories Alternatives Stacks Self-Hosted Explore

© 2026 Open-Awesome. Curated for the developer elite.

Terms Privacy About GitHub RSS

sigopt_sklearn — Sklearn Hyperparameter Optimization | Open Awesome

Home
Data Science
sigopt_sklearn

sigopt_sklearn

MITPython

A Python library providing SigOpt hyperparameter optimization wrappers for scikit-learn and XGBoost models.

75 stars11 forks0 contributors

Overview

SigOpt wrappers for scikit-learn methods

Quick Stats

Stars75

Forks11

Contributors0

Open Issues2

Last commit

Related Projects

Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a project Star on GitHub

2 years ago

CreatedSince 2016

Tags

#ensemble-learning #hyperparameter-optimization #python-library #bayesian-optimization #model-tuning #xgboost #scikit-learn #machine-learning

Built With

Included in

Data Science28.8k

Auto-fetched 4 hours ago

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Last commit3 hours ago

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Last commit22 hours ago

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Last commit1 day ago

A toolkit for making real world machine learning and data analysis applications in C++

Last commit1 month ago