awesome-julia-datasciences
github.com/widged/awesome-julia-datasciences ↗Resources about Julia for DataSciences / Machine Learning
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APL
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APL
- ANNGeneral-Purpose Machine Learning
Julia artificial neural networks.
- ClusteringGeneral-Purpose Machine Learning
Basic functions for clustering data: k-means, dp-means, etc.
- DAGeneral-Purpose Machine Learning
Julia package for Regularized Discriminant Analysis.
- Data ArraysData Analysis / Data Visualization
Data structures that allow missing values.
- DataFramesData Analysis / Data Visualization
library for working with tabular data in Julia.
- Data Frames MetaData Analysis / Data Visualization
Metaprogramming tools for DataFrames.
Showing a sample of 55 resources. View the full list on GitHub →