520 Open source projects that are alternatives of or similar to Gradient Free Optimizers

Experimental Global Optimization Algorithm

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

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Hyperparameter optimization in Julia.

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

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

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

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Python code for bayesian optimization using Gaussian processes

a distributed Hyperband implementation on Steroids

A toolset for black-box hyperparameter optimisation.

Easy Hyper Parameter Optimization with mlr and mlrMBO.

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Large scale and asynchronous Hyperparameter Optimization at your fingertip.

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

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.

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

Python library for Bayesian hyper-parameters optimization

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

Simple, but essential Bayesian optimization package

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

A Python implementation of global optimization with gaussian processes.

Project moved to: https://github.com/llvm/llvm-project

Tuning hyperparams fast with Hyperband

[DEPRECATED] Google Closure Compiler plugin for Webpack

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A redis clone in Python 3 to disprove some falsehoods about performance.

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

A fast and differentiable QP solver for PyTorch.

🎯 A comprehensive gradient-free optimization framework written in Python

A hyperparameter optimization framework

Optimization functions for Julia

Desugaring scala `for` without implicit `withFilter`s

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Teaching Materials for Dr. Waleed A. Yousef

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

A header-only C++ library for numerical optimization --

faster.js is a Babel plugin that compiles idiomatic Javascript to faster, micro-optimized Javascript.

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

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OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

The smallest Android APK in the world

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