OMLT
JuMP.jl
| OMLT | JuMP.jl | |
|---|---|---|
| 2 | 3 | |
| 247 | 2,137 | |
| 2.8% | 0.8% | |
| 8.1 | 9.3 | |
| 5 days ago | 5 days ago | |
| Python | Julia | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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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 :)
JuMP.jl
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Optimization
JuMP.jl is my personal go-to when solving "big" optimization problems in Julia (maybe it's overkill for your application).
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Multiple dispatch: Common Lisp vs Julia
A 100+ contributor project
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Julia macros
Macros are very useful if you want to create Domain Specific Languages (DSLs), see https://github.com/jump-dev/JuMP.jl or if you want to transpile a subset of Julia to another language or say GPU code.
What are some alternatives?
pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.
Catalyst.jl - Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
snl-quest - An open source, Python-based software platform for energy storage simulation and analysis developed by Sandia National Laboratories.
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
fxpmath - A python library for fractional fixed-point (base 2) arithmetic and binary manipulation with Numpy compatibility.
ComponentArrays.jl - Arrays with arbitrarily nested named components.
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.
NumericalAlgorithms.jl - [DEPRECATED] Statistics & Numerical algorithms implemented in Julia.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
MuladdMacro.jl - This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem
pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints
ConstructiveGeometry.jl - Algorithms and syntax for building CSG objects within Julia.