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

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

python Parameter EStimation TOolbox

experiments with python

Phoenics: Bayesian optimization for efficient experiment planning

PHYSBO -- optimization tools for PHYsics based on Bayesian Optimization

Simulation framework for nonsmooth dynamical systems

Topology Optimization using Python

Bayesian Optimization algorithms with various recent improvements

Field-aware factorization machine (FFM) with FTRL

A general-purpose pythonic genetic algorithm.

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Optimization functions for Julia

GPstuff - Gaussian process models for Bayesian analysis

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

A modular active learning framework for Python

A curated list of automated machine learning papers, articles, tutorials, slides and projects

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

💝 My personal Gentoo/Linux configuration backup files

MATLAB toolbox for optimization modeling

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

A general and flexible factor graph non-linear least square optimization framework

Bayesian Optimization and Grid Search for xgboost/lightgbm

OpenMDAO repository.

Automated image compression for efficiently distributing images on the web.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering

Mathematical optimization in pure Rust

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

[tutorial]A functional, Data Science focused introduction to Python

Kafka Partitions Assignment Optimizer

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

Reducing memory allocations from 7.5GB to 32KB

Contains maps for the article, "Computing the optimal road trip across the U.S." and similar articles

Lightweight justice for your single-board computer!

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

Generate Data-URI scheme via terminal or node.js

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

An app performance monitor(APM) , like "Android Studio profiler", you can easily monitor the performance of your app real time in browser

Generic and efficient MATLAB solver for nonsmooth optimization problems

OrangeC Compiler And Tool Chain

Black box hyperparameter optimization made easy.

Optimize PNG, JPEG, GIF, SVG images with grunt task.

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

Fast and embedded solvers for nonlinear optimal control

Optimization sample codes on Python

Bayesian optimization for Python

Optimal transport algorithms for Julia

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much, much more.

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

Fsharp LInear Programming System

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

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)

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

A polyhedral compiler for expressing fast and portable data parallel algorithms

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

Mixed-Integer Parallel Efficient Global Optimization

A curated list of awesome links and software libraries that are useful for robots.

oj! Algorithms

No description or website provided.

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.