Operon VS BayesOpt

Compare Operon vs BayesOpt and see what are their differences.

Operon

Modern C++ framework for symbolic regression that uses genetic programming to explore a hypothesis space of possible mathematical expression. (by heal-research)
Artificial intelligence genetic-programming symbolic-regression Cpp17 CPP genetic-algorithm CMake Python mathematical-expressions python-bindings vcpkg optimization-algorithms Machine Learning
Source Code
operongp.readthedocs.io
Docs
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BayesOpt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. (by rmcantin)
Artificial intelligence
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Operon BayesOpt
- 1
120 379
4.2% -
8.8 1.1
12 days ago about 1 year ago
C++ C++
MIT License GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Operon

Posts with mentions or reviews of Operon. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Operon yet.
Tracking mentions began in Dec 2020.

BayesOpt

Posts with mentions or reviews of BayesOpt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-06.
  • The Evolutionary Computation Methods No One Should Use
    3 projects | /r/optimization | 6 Jan 2023
    Very interesting to see how wide spread this is. Stumbled upon it myself by accident when comparing my algorithm to a popular Bayesian optimisation algorithm (https://github.com/rmcantin/bayesopt). Almost every run it would sample the exact centre of the optimisation space. At first I was blown away by the performance until I found it suspicious that the precise optimum was found so often. Shifting the optimum away from the centre greatly reduced the algorithms performance.

What are some alternatives?

When comparing Operon and BayesOpt you can also consider the following projects:

Genann - simple neural network library in ANSI C

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

openmind - Deduction framework with arbitrary mathematical system solver.

tensorflow - An Open Source Machine Learning Framework for Everyone

frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.

Recast/Detour - Industry-standard navigation-mesh toolset for games

ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library

AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings

Veles - Distributed machine learning platform

tiny-cnn - header only, dependency-free deep learning framework in C++14

Tulip Indicators - Technical Analysis Indicator Function Library in C

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Operon vs Genann BayesOpt vs Pytorch Operon vs openmind BayesOpt vs tensorflow Operon vs frugally-deep BayesOpt vs Recast/Detour Operon vs ANNetGPGPU BayesOpt vs AI-Toolbox Operon vs Veles BayesOpt vs tiny-cnn Operon vs Tulip Indicators BayesOpt vs CNTK