pybobyqa
OMLT
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| pybobyqa | OMLT | |
|---|---|---|
| 1 | 2 | |
| 71 | 247 | |
| - | 5.3% | |
| 5.8 | 8.1 | |
| 19 days ago | 8 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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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.
OMLT
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Machine learning & operations research
OMLT does this conversion for you, both for neural network and gradient boosting ML-models :)
What are some alternatives?
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.
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.
snl-quest - An open source, Python-based software platform for energy storage simulation and analysis developed by Sandia National Laboratories.
PyGenetic - A multi-purpose genetic algorithm written in python
fxpmath - A python library for fractional fixed-point (base 2) arithmetic and binary manipulation with Numpy compatibility.
WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).