# giacbrd/ShallowLearn

<https://repo.masters-masters.com/en/repos/giacbrd/ShallowLearn>

[Home](https://repo.masters-masters.com/en) › [giacbrd](https://repo.masters-masters.com/en/owners/giacbrd) › [ShallowLearn](https://repo.masters-masters.com/en/repos/giacbrd/ShallowLearn)

giacbrd/ShallowLearn has 198 stars on GitHub. Its RepoMasters card: Prototype tier. An experiment about re-implementing supervised learning models based on…

| Field | Value |
| --- | --- |
| Owner | [giacbrd](https://repo.masters-masters.com/en/owners/giacbrd) |
| Stars | 198 |
| Forks | 29 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | LGPL-3.0 |
| Created | 2016 |
| Topics | word2vec, fasttext, scikit-learn, machine-learning, neural-network, gensim, text-mining, text-classification, supervised-learning, online-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [giacbrd/ShallowLearn](https://github.com/giacbrd/ShallowLearn) |

## Repository

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
