Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
☆1,394Jul 21, 2017Updated 8 years ago
Alternatives and similar repositories for spearmint
Users that are interested in spearmint are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Spearmint Bayesian optimization codebase☆1,569Dec 27, 2019Updated 6 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,574Updated this week
- A global, black box optimization engine for real world metric optimization.☆1,321Mar 24, 2023Updated 3 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆516Jan 29, 2014Updated 12 years ago
- RoBO: a Robust Bayesian Optimization framework☆490Apr 30, 2019Updated 7 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.
- Gaussian Process Optimization using GPy☆949Jan 17, 2023Updated 3 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,841Mar 18, 2024Updated 2 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,826Feb 23, 2024Updated 2 years ago
- Exploring differentiation with respect to hyperparameters☆297Jan 15, 2016Updated 10 years ago
- Lightweight library to build and train neural networks in Theano☆3,864Mar 26, 2022Updated 4 years ago
- A Python implementation of global optimization with gaussian processes.☆8,628May 11, 2026Updated 2 weeks ago
- A Theano framework for building and training neural networks☆1,152Feb 19, 2019Updated 7 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Sep 20, 2018Updated 7 years ago
- Combines the ease of use of scikit-learn with the power of Theano/Lasagne☆952Jul 6, 2023Updated 2 years ago
- 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.
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,223May 18, 2026Updated last week
- Hyper-parameter optimization for sklearn☆1,648Apr 15, 2025Updated last year
- Intel® Nervana™ reference deep learning framework committed to best performance on all hardware☆3,866Dec 23, 2020Updated 5 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Jun 15, 2017Updated 8 years ago
- Tuning hyperparams fast with Hyperband☆598Aug 15, 2018Updated 7 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,051Sep 11, 2025Updated 8 months ago
- A data pipeline framework for machine learning☆871Nov 22, 2022Updated 3 years ago
- Python package for modular Bayesian optimization☆136Dec 21, 2020Updated 5 years ago
- Automated Machine Learning with scikit-learn☆8,103Apr 21, 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.
- Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allredu…☆8,681May 8, 2026Updated 2 weeks ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,172Aug 30, 2021Updated 4 years ago
- Computation Graph Toolkit☆634Apr 10, 2018Updated 8 years ago
- Warning: This project does not have any current developer. See bellow.☆2,769Aug 20, 2021Updated 4 years ago
- Gaussian processes framework in python☆2,158Jun 19, 2025Updated 11 months ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆28,407Updated this week
- optimization routines for hyperparameter tuning☆425Nov 25, 2023Updated 2 years ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,178Jan 5, 2023Updated 3 years ago
- Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"☆2,051Jun 9, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A little library for text analysis with RNNs.☆537Sep 10, 2018Updated 7 years ago
- Hyperparameter optimization for neural networks☆48Oct 8, 2013Updated 12 years ago
- Efficiently computes derivatives of NumPy code.☆7,492May 18, 2026Updated last week
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,266Jun 6, 2018Updated 7 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆20,810Oct 25, 2023Updated 2 years ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆6,208Feb 3, 2022Updated 4 years ago
- Easy benchmarking of all publicly accessible implementations of convnets☆2,689Jun 9, 2017Updated 8 years ago