Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
☆640Apr 29, 2023Updated 2 years ago
Alternatives and similar repositories for hyperparameter-optimization
Users that are interested in hyperparameter-optimization 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☆7,588Mar 16, 2026Updated last month
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,235Jun 17, 2024Updated last year
- Automated feature engineering in Python with Featuretools☆518Feb 8, 2019Updated 7 years ago
- A Python implementation of global optimization with gaussian processes.☆8,595Apr 1, 2026Updated 2 weeks ago
- Materials and assignments for Coursera Course: data structures and algorithms☆15Sep 5, 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.
- An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all…☆1,270Apr 29, 2023Updated 2 years ago
- Python code for bayesian optimization using Gaussian processes☆315Dec 6, 2016Updated 9 years ago
- Data visualization workshop☆11May 12, 2020Updated 5 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Jan 20, 2021Updated 5 years ago
- Hyper-parameter optimization for sklearn☆1,647Apr 15, 2025Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,821Feb 23, 2024Updated 2 years ago
- Work for Mastering Large Datasets with Python☆20Dec 8, 2022Updated 3 years ago
- a distributed Hyperband implementation on Steroids☆630Oct 16, 2022Updated 3 years ago
- Feature exploration for supervised learning☆760Feb 4, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition☆19Jun 15, 2018Updated 7 years ago
- Deep Learning Cookbox☆10Oct 6, 2018Updated 7 years ago
- Notebooks about Bayesian methods for machine learning☆1,913Mar 6, 2024Updated 2 years ago
- CatBoost tutorials repository☆1,103Mar 9, 2026Updated last month
- Data Science Using Python☆5,513Jul 8, 2023Updated 2 years ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,177Jan 5, 2023Updated 3 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,095Updated this week
- Home for all Coursera Machine Learning Resources and Projects☆11Jan 13, 2018Updated 8 years ago
- Working with and analyzing Wikipedia Data☆695Apr 29, 2023Updated 2 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.
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Jun 17, 2020Updated 5 years ago
- Hyperparameter Experiments with TensorFlow and Keras☆1,636Apr 22, 2024Updated last year
- Spearmint Bayesian optimization codebase☆1,568Dec 27, 2019Updated 6 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,041Sep 11, 2025Updated 7 months ago
- MLBox is a powerful Automated Machine Learning python library.☆1,530Aug 6, 2023Updated 2 years ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,243Apr 10, 2026Updated last week
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆52Sep 9, 2017Updated 8 years ago
- Artificial Intelligence projects, documentation and code.☆369Apr 11, 2018Updated 8 years ago
- A library of sklearn compatible categorical variable encoders☆2,488Mar 1, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆12Nov 26, 2018Updated 7 years ago
- This repository complements the article on hyperparameter tuning using the hyperopt package in Python at steventhornton.ca/Hyperparameter…☆16Mar 7, 2017Updated 9 years ago
- An open source python library for automated feature engineering☆7,629Feb 3, 2026Updated 2 months ago
- Python library for Bayesian hyper-parameters optimization☆93Aug 28, 2018Updated 7 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,286Updated this week
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆116Aug 5, 2017Updated 8 years ago
- Comparison of XGBoost and LightGBM (speed, accuracy and complexity)☆21Dec 8, 2018Updated 7 years ago