530 Open source projects that are alternatives of or similar to Hyperopt.jl

A fully decentralized hyperparameter optimization framework

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Toolbox for Bayesian Optimization and Model-Based Optimization in R

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Sequential model-based optimization with a `scipy.optimize` interface

Experimental Global Optimization Algorithm

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

a distributed Hyperband implementation on Steroids

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Differential evolution global optimization in Python.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

🦅Hyperparameter optimization for machine learning pipelines 🦅

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Python library for Bayesian hyper-parameters optimization

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Yes, it's a camel case.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Sequential Model-based Algorithm Configuration

Bayesian Optimization using GPflow

Simple, but essential Bayesian optimization package

Easy Hyper Parameter Optimization with mlr and mlrMBO.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

A Python implementation of global optimization with gaussian processes.

Surrogate Optimization Toolbox for Python

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Automated modeling and machine learning framework FEDOT

Python code for bayesian optimization using Gaussian processes

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

A toolset for black-box hyperparameter optimisation.

Parallel Hyperparameter Tuning in Python

Automated Machine Learning with scikit-learn

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

A scikit-learn compatible implementation of hyperband

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

YASK--Yet Another Stencil Kit: a domain-specific language and framework to create high-performance stencil code for implementing finite-difference methods and similar applications.

Sum of Squares Programming for Julia

Abstract operators for large scale optimization in Julia

Interior Mapping shader for the Godot Game Engine 3.x that works with both GLES3 and GLES2.

Linear Programming for Rust, with an user-friendly API. This crate allows modeling LP problems, and let's you solve them with various solvers.

Super-fast and clean conversions to numbers.

Python library for optimizing noisy functions.

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.

A set of code analyzers & code fix providers to help developers use the proper .NET Collection & API in their algorithms

Investment portfolio and stocks analyzing tools for Python with free historical data

Black box hyperparameter optimization made easy.

A library for optimization on Riemannian manifolds

Community repository, to improve security and performance of Windows 10 and windows 11 with tweaks, commands, scripts, registry keys, configuration, tutorials and more

↘️ Trivial compile-time Razor HTML Minifier for ASP.NET MVC 5.

Trajectory Planner in Multi-Agent and Dynamic Environments

Unified API for multiple optimizer engines

SpinW Matlab library for spin wave calculation

The model for the REopt API, which is used as the back-end for the REopt Webtool (reopt.nrel.gov/tool), and can be accessed directly via the NREL Developer Network (https://developer.nrel.gov/docs/energy-optimization/reopt/v1)

FMI-compliant Model Estimation in Python

Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250

Python library for CMA Evolution Strategy.

Demo for analyzing the structural imbalance on a signed social network.

Routing optimization module module for Itinero.