BeautifulAlgorithms.jl VS FluxTraining.jl

Compare BeautifulAlgorithms.jl vs FluxTraining.jl and see what are their differences.

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BeautifulAlgorithms.jl FluxTraining.jl
3 1
1,308 115
- 0.9%
4.1 5.1
5 months ago 19 days ago
Julia Julia
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

BeautifulAlgorithms.jl

Posts with mentions or reviews of BeautifulAlgorithms.jl. We have used some of these posts to build our list of alternatives and similar projects.

FluxTraining.jl

Posts with mentions or reviews of FluxTraining.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-27.

What are some alternatives?

When comparing BeautifulAlgorithms.jl and FluxTraining.jl you can also consider the following projects:

ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

Coluna.jl - Branch-and-Price-and-Cut in Julia

GeometricFlux.jl - Geometric Deep Learning for Flux

RegressionTables.jl - Journal-style regression tables

Transformers.jl - Julia Implementation of Transformer models

Matches.jl - Simple ML package that computes gradients without backpropagation

swiftai - Swift for TensorFlow's high-level API, modeled after fastai

EvoTrees.jl - Boosted trees in Julia

JuliaComputation - Repository for Common Ground C25

StatsWithJuliaBook

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