Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
☆642Apr 29, 2023Updated 3 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☆7,592Updated this week
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,231Jun 17, 2024Updated 2 years ago
- A Python implementation of global optimization with gaussian processes.☆8,692Jul 21, 2026Updated 3 weeks ago
- Automated feature engineering in Python with Featuretools☆517Feb 8, 2019Updated 7 years ago
- Materials and assignments for Coursera Course: data structures and algorithms☆15Sep 5, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all…☆1,300Apr 29, 2023Updated 3 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆143Mar 3, 2023Updated 3 years ago
- Python code for bayesian optimization using Gaussian processes☆316Dec 6, 2016Updated 9 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆705Jan 20, 2021Updated 5 years ago
- Hyper-parameter optimization for sklearn☆1,648Apr 15, 2025Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,829Feb 23, 2024Updated 2 years ago
- Work for Mastering Large Datasets with Python☆20Dec 8, 2022Updated 3 years ago
- a distributed Hyperband implementation on Steroids☆633Oct 16, 2022Updated 3 years ago
- Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition☆19Jun 15, 2018Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Deep Learning Cookbox☆10Oct 6, 2018Updated 7 years ago
- Notebooks about Bayesian methods for machine learning☆1,918Jul 12, 2026Updated last month
- CatBoost tutorials repository☆1,107Mar 9, 2026Updated 5 months ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,173Jan 5, 2023Updated 3 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,118Jun 29, 2026Updated last month
- Working with and analyzing Wikipedia Data☆696Apr 29, 2023Updated 3 years ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,696Updated this week
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆68Jun 17, 2020Updated 6 years ago
- Hyperparameter Experiments with TensorFlow and Keras☆1,636Apr 22, 2024Updated 2 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.
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆53Sep 9, 2017Updated 8 years ago
- Spearmint Bayesian optimization codebase☆1,573Dec 27, 2019Updated 6 years ago
- MLBox is a powerful Automated Machine Learning python library.☆1,537Aug 6, 2023Updated 3 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,051Sep 11, 2025Updated 11 months ago
- Artificial Intelligence projects, documentation and code.☆372Apr 11, 2018Updated 8 years ago
- An introduction to implementing a number of scikit-learn classifiers, along with some data exploration☆103Jan 3, 2016Updated 10 years ago
- A library of sklearn compatible categorical variable encoders☆2,497Jul 31, 2026Updated 2 weeks ago
- A game theoretic approach to explain the output of any machine learning model.☆25,692Aug 11, 2026Updated last week
- ☆12Nov 26, 2018Updated 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.
- Home for all Coursera Machine Learning Resources and Projects☆11Jan 13, 2018Updated 8 years ago
- An open source python library for automated feature engineering☆7,664Jul 27, 2026Updated 3 weeks ago
- Python library for Bayesian hyper-parameters optimization☆93Aug 28, 2018Updated 7 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆116Aug 5, 2017Updated 9 years ago
- 28th place solution to Kaggle Santander Competition 2019☆18Apr 19, 2019Updated 7 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,242Updated this week
- Doing Bayesian statistics in Python!☆68Jan 31, 2018Updated 8 years ago