OMLT
pybobyqa
| OMLT | pybobyqa | |
|---|---|---|
| 2 | 1 | |
| 247 | 72 | |
| 2.8% | - | |
| 8.1 | 5.8 | |
| 5 days ago | 27 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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OMLT
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Machine learning & operations research
OMLT does this conversion for you, both for neural network and gradient boosting ML-models :)
pybobyqa
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Gradient-Free-Optimizers A collection of modern optimization methods in Python
I've used this, and it works nicely: https://github.com/numericalalgorithmsgroup/pybobyqa. I'd be happy if it were added to your project, then I could just use yours and have access to a bunch of alternatives with the same API.
What are some alternatives?
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
snl-quest - An open source, Python-based software platform for energy storage simulation and analysis developed by Sandia National Laboratories.
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.
fxpmath - A python library for fractional fixed-point (base 2) arithmetic and binary manipulation with Numpy compatibility.
PyGenetic - A multi-purpose genetic algorithm written in python
WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.