BayesOpt
parmoo
| BayesOpt | parmoo | |
|---|---|---|
| 1 | 4 | |
| 379 | 71 | |
| - | - | |
| 1.1 | 6.4 | |
| about 1 year ago | 6 days ago | |
| C++ | Python | |
| GNU Affero General Public License v3.0 | BSD 3-clause "New" or "Revised" License |
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BayesOpt
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The Evolutionary Computation Methods No One Should Use
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.
parmoo
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Multi objective optimization problems
DTLZ problems are the standard that most papers compare on. I have an implementation of most of DTLZ problems in my package (https://github.com/parmoo/parmoo). You can also find them in pymoo, and most other packages
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The Evolutionary Computation Methods No One Should Use
Then another modified DTLZ set in Python so that the solutions will have a configurable location here (https://github.com/parmoo/parmoo)
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Bayesian optimization research
I want to plug my own tool, but it is not exactly BO, but could be used for that: - https://github.com/parmoo/parmoo
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Bayesian optimization applications
I maintain an open-source Python library for doing generic surrogate-model-based global optimization (BO being the most common flavor thereof) for the Dept of Energy. https://github.com/parmoo/parmoo
What are some alternatives?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
VTMOP - Solver for Blackbox Multiobjective Optimization Problems
tensorflow - An Open Source Machine Learning Framework for Everyone
prima - PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
Recast/Detour - Industry-standard navigation-mesh toolset for games
ExpensiveOptimBenchmark - Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
tiny-cnn - header only, dependency-free deep learning framework in C++14
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
btsk - Behavior Tree Starter Kit
Genann - simple neural network library in ANSI C
ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library