# theamrzaki/text\_summurization\_abstractive\_methods

<https://repo.masters-masters.com/en/repos/theamrzaki/text_summurization_abstractive_methods>

[Home](https://repo.masters-masters.com/en) › [theamrzaki](https://repo.masters-masters.com/en/owners/theamrzaki) › [text\_summurization\_abstractive\_methods](https://repo.masters-masters.com/en/repos/theamrzaki/text_summurization_abstractive_methods)

theamrzaki/text\_summurization\_abstractive\_methods has 529 stars on GitHub. Its RepoMasters card: Alpha tier. Multiple implementations for abstractive text…

| Field | Value |
| --- | --- |
| Owner | [theamrzaki](https://repo.masters-masters.com/en/owners/theamrzaki) |
| Stars | 529 |
| Forks | 216 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Topics | tensorflow, deeplearning, nlp, machine-learning, deep-learning, seq2seq, rnn, ai, artificial-intelligence, encoder-decoder |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [theamrzaki/text\_summurization\_abstractive\_methods](https://github.com/theamrzaki/text_summurization_abstractive_methods) |

## Repository

Multiple implementations for abstractive text summurization , using google colab

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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