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README.md
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README.md
@ -51,6 +51,8 @@ Further resources:
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- [Natural Language Processing](#go-nlp)
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- [Natural Language Processing](#go-nlp)
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- [General-Purpose Machine Learning](#go-general-purpose)
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- [General-Purpose Machine Learning](#go-general-purpose)
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- [Data Analysis / Data Visualization](#go-data-analysis)
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- [Data Analysis / Data Visualization](#go-data-analysis)
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- [Facial Detection and Recognition](#go-facial-recognition)
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- [Image Classification](#go-image-classification)
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- [Haskell](#haskell)
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- [Haskell](#haskell)
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- [General-Purpose Machine Learning](#haskell-general-purpose)
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- [General-Purpose Machine Learning](#haskell-general-purpose)
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- [Java](#java)
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- [Java](#java)
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@ -306,6 +308,7 @@ Further resources:
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* [go-porterstemmer](https://github.com/reiver/go-porterstemmer) - A native Go clean room implementation of the Porter Stemming algorithm.
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* [go-porterstemmer](https://github.com/reiver/go-porterstemmer) - A native Go clean room implementation of the Porter Stemming algorithm.
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* [paicehusk](https://github.com/Rookii/paicehusk) - Golang implementation of the Paice/Husk Stemming Algorithm.
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* [paicehusk](https://github.com/Rookii/paicehusk) - Golang implementation of the Paice/Husk Stemming Algorithm.
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* [snowball](https://github.com/tebeka/snowball) - Snowball Stemmer for Go.
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* [snowball](https://github.com/tebeka/snowball) - Snowball Stemmer for Go.
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* [Textbox](https://godoc.org/github.com/machinebox/sdk-go/textbox) - Natural langauge processing SDK from Machine Box
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* [go-ngram](https://github.com/Lazin/go-ngram) - In-memory n-gram index with compression.
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* [go-ngram](https://github.com/Lazin/go-ngram) - In-memory n-gram index with compression.
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* [word-embedding](https://github.com/ynqa/word-embedding) - Word Embeddings: the full implementation of word2vec, GloVe in Go.
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* [word-embedding](https://github.com/ynqa/word-embedding) - Word Embeddings: the full implementation of word2vec, GloVe in Go.
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* [sentences](https://github.com/neurosnap/sentences) - Golang implementation of Punkt sentence tokenizer.
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* [sentences](https://github.com/neurosnap/sentences) - Golang implementation of Punkt sentence tokenizer.
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@ -334,6 +337,17 @@ Further resources:
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* [RF](https://github.com/fxsjy/RF.go) - Random forests implementation in Go.
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* [RF](https://github.com/fxsjy/RF.go) - Random forests implementation in Go.
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* [Glot](https://github.com/arafatk/glot) - Glot is a plotting library for Golang built on top of gnuplot.
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* [Glot](https://github.com/arafatk/glot) - Glot is a plotting library for Golang built on top of gnuplot.
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<a name="go-facial-recognition"></a>
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#### Facial Detection and Recognition
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* [Facebox](https://godoc.org/github.com/machinebox/sdk-go/facebox) - Facial detection and recognition SDK with one-shot teaching from Machine Box
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<a name="go-image-classification"></a>
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#### Image Classification
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* [Tagbox](https://godoc.org/github.com/machinebox/sdk-go/tagbox) - Image classification SDK with one-shot teaching from Machine Box
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* [Nudebox](https://godoc.org/github.com/machinebox/sdk-go/nudebox) - Nudity detection from Machine Box
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<a name="haskell"></a>
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<a name="haskell"></a>
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## Haskell
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## Haskell
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