FluxTraining.jl
JuMP.jl
FluxTraining.jl | JuMP.jl | |
---|---|---|
1 | 3 | |
116 | 2,147 | |
1.7% | 1.3% | |
5.1 | 9.3 | |
about 1 month ago | 4 days ago | |
Julia | Julia | |
MIT License | GNU General Public License v3.0 or later |
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FluxTraining.jl
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?
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
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.
GeometricFlux.jl - Geometric Deep Learning for Flux
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
BeautifulAlgorithms.jl - Concise and beautiful algorithms written in Julia
ComponentArrays.jl - Arrays with arbitrarily nested named components.
Transformers.jl - Julia Implementation of Transformer models
NumericalAlgorithms.jl - [DEPRECATED] Statistics & Numerical algorithms implemented in Julia.
swiftai - Swift for TensorFlow's high-level API, modeled after fastai
OMLT - Represent trained machine learning models as Pyomo optimization formulations
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
ConstructiveGeometry.jl - Algorithms and syntax for building CSG objects within Julia.