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Added two selfies under Julia packages (ROCAnalysis and GaussianMixtures), and the ScikitLearn Julia interface to the python package.
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David van Leeuwen 2016-06-16 13:49:20 +02:00 committed by GitHub
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@ -462,6 +462,9 @@ For a list of free machine learning books available for download, go [here](http
* [ManifoldLearning](https://github.com/wildart/ManifoldLearning.jl) - A Julia package for manifold learning and nonlinear dimensionality reduction
* [MXNet](https://github.com/dmlc/mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.
* [Merlin](https://github.com/hshindo/Merlin.jl) - Flexible Deep Learning Framework in Julia
* [ROCAnalysis](https://github.com/davidavdav/ROCAnalysis.jl) - Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers
* [GaussianMixtures] (https://github.com/davidavdav/GaussianMixtures.jl) - Large scale Gaussian Mixture Models
* [ScikitLearn] (https://github.com/cstjean/ScikitLearn.jl) - Julia implementation of the scikit-learn API
<a name="julia-nlp" />
#### Natural Language Processing