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[![Documentation Status](https://readthedocs.org/projects/texar/badge/?version=latest)](https://texar.readthedocs.io/en/latest/?badge=latest)


**Texar** is an open-source toolkit based on Tensorflow, aiming to support a broad set of machine learning especially **text generation tasks**, such as machine translation, dialog, summarization, content manipulation, language modeling, and so on. Texar is designed for both researchers and practitioners for fast prototyping and experimentation.

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* Interfaces with different functionality levels. Users can customize a model through 1) simple **Python/YAML configuration files** of provided model templates/examples; 2) programming with **Python Library APIs** for maximal customizability.
* Easy-to-use APIs: 1) Convenient automatic variable re-use---no worry about the complicated TF variable scopes; 2) Pytorch-like callable modules; 3) Rich configuration options for each module, all with default values; ...
* Well-structured high-quality code of uniform design patterns and consistent styles.
* Clean, detailed [documentation](.) and rich [examples](./examples).
* Clean, detailed [documentation](https://texar.readthedocs.io) and rich [examples](./examples).

### Library API Example
Builds a (self-)attentional sequence encoder-decoder model, with different learning algorithms:
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### Getting Started
* [Examples](./examples)
* [Documentations](.)
* [Documentation](https://texar.readthedocs.io)

### Reference
If you use Texar, please cite the [report](.) with the following BibTex entry:
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