Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
☆346Oct 18, 2020Updated 6 years ago
Alternatives and similar repositories for sherpa
Users that are interested in sherpa 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☆631Oct 16, 2022Updated 4 years ago
- A fully decentralized hyperparameter optimization framework☆123Jul 18, 2024Updated 2 years ago
- Tuning hyperparams fast with Hyperband☆598Aug 15, 2018Updated 8 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,600Updated this week
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,270Updated this week
- 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.
- Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)☆26Jul 18, 2019Updated 7 years ago
- An automatic ML model optimization tool.☆198Jan 27, 2023Updated 3 years ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,174Jan 5, 2023Updated 3 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆704Jan 20, 2021Updated 5 years ago
- A simple, extensible library for developing AutoML systems☆176Jul 28, 2023Updated 3 years ago
- Hyperparameter Experiments with TensorFlow and Keras☆1,635Oct 30, 2026Updated last week
- A hyperparameter optimization framework☆15,011Updated this week
- Sequential model-based optimization with a `scipy.optimize` interface☆2,830Feb 23, 2024Updated 2 years ago
- A toolset for black-box hyperparameter optimisation.☆137Jan 26, 2020Updated 6 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.
- AutoML framework balancing performance and complexity☆14May 9, 2021Updated 5 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆225Updated this week
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,382Oct 22, 2025Updated last year
- A simplified framework and utilities for PyTorch☆578Jun 7, 2026Updated 5 months ago
- Gaussian Process Optimization using GPy☆943Jan 17, 2023Updated 3 years ago
- Fast and flexible AutoML with learning guarantees.☆3,451Nov 30, 2023Updated 2 years ago
- AutoML library for deep learning☆9,341Nov 25, 2025Updated 11 months ago
- tuning hyperparams automatically with spearmint☆15Jun 21, 2014Updated 12 years ago
- Hyper-parameter optimization for sklearn☆1,649Apr 15, 2025Updated last year
- 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.
- [alpha] Expose Julia functions to PyTorch☆15Aug 9, 2019Updated 7 years ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,185Updated this week
- Bayesian optimization in PyTorch☆3,646Updated this week
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Feb 5, 2019Updated 7 years ago
- ☆16Oct 29, 2019Updated 7 years ago
- Open-source implementation of Google Vizier for hyper parameters tuning☆1,565Nov 11, 2019Updated 6 years ago
- SOTA Black-box optimization (Python and JS) without the baggage☆159Updated this week
- Adaptive Experimentation Platform☆2,838Updated this week
- A Python implementation of global optimization with gaussian processes.☆8,729Oct 16, 2026Updated 3 weeks 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.
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,541Apr 9, 2024Updated 2 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,059Sep 11, 2025Updated last year
- learning to search in pytorch☆110Feb 18, 2020Updated 6 years ago
- A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-I…☆33Nov 16, 2020Updated 5 years ago
- Stochastic training of graph convolutional networks☆84Sep 20, 2022Updated 4 years ago
- A Python toolbox for performing gradient-free optimization☆4,224Updated this week
- torch-optimizer -- collection of optimizers for Pytorch☆3,172Mar 22, 2024Updated 2 years ago