Metadata-Version: 2.1
Name: transformerx
Version: 1.0.0b1
Summary: TransformerX is a python library for building transformer-based models using ready-to-use layers.
Home-page: https://github.com/tensorops/TransformerX
License: Apache
Keywords: transformer,deep-learning,machine-learning,NLP,natural-language-processing,computer-vision,cv,vision,speech-recognition
Author: Soran Ghaderi
Author-email: soran.gdr.cs@gmail.com
Maintainer: Soran Ghaderi
Maintainer-email: soran.gdr.cs@gmail.com
Requires-Python: >=3.10,<3.11
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: einops (>=0.4.1,<0.5.0)
Requires-Dist: matplotlib (>=3.5.3,<4.0.0)
Requires-Dist: numpy (>=1.23.2,<2.0.0)
Requires-Dist: pytest (>=7.1.2,<8.0.0)
Requires-Dist: tensorflow (>=2.9.0,<3.0.0)
Project-URL: Repository, https://github.com/tensorops/TransformerX
Description-Content-Type: text/markdown

<div align="center">
<h1><b>TransformerX</b></h1>
<p><b>TransformerX</b> is a Python library for building transformer-based models.</p>
<p>It comes with multiple building blocks and layers you need for creating your model.</p>
</div>

<div align="center">
<img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/emgraph">
<img alt="PyPI - Implementation" src="https://img.shields.io/pypi/implementation/transformerx">
<img alt="GitHub last commit" src="https://img.shields.io/github/last-commit/tensorops/transformerx">
<img alt="PyPI - Maintenance" src="https://img.shields.io/badge/Maintained%3F-yes-green.svg">
<img alt="PyPI - License" src="https://img.shields.io/pypi/l/transformerx.svg">
<img alt="PyPI - Format" src="https://img.shields.io/pypi/format/transformerx.svg">

[//]: # (<img alt="Status" src="https://img.shields.io/pypi/status/transformerx.svg">)
<img alt="Commits" src="https://badgen.net/github/commits/tensorops/transformerx">
<img alt="Commits" src="https://img.shields.io/badge/TensorFlow 2-FF6F00?style=flat&logo=tensorflow&logoColor=white">
</div>

<div>
  <p>Join <a href="https://discord.gg/WGdPS5NJ"><b>TensorOps</b> community on Discord</a></p>
</div>

<div>
  <h2>Installation</h2>
  <p>Install the latest version of <b>TransformerX</b>:</p>
    <b>Note:</b> Currently you need to build it from the source, but, we are actively working, and it will be ready to use soon
  <pre>[not yet working] $ pip install transformerx</pre>
</div>


<div>
<h3>Features</h3>

- [x] Support CPU/GPU
- [x] Vectorized operations
- [x] Standard API

</div>
<h2>If you found it helpful, please give us a <span>:star:</span></h2>

<div>
<h2>License</h2>
<p>Released under the Apache 2.0 license</p>
</div>

<div class="footer"><pre>Copyright &copy; 2021-2022 <b>TensorOps</b> Developers

<a href="https://soran-ghaderi.github.io/">Soran Ghaderi</a> (soran.gdr.cs@gmail.com)
follow me on <a href="https://github.com/soran-ghaderi"><img alt="Github" src="https://img.shields.io/badge/GitHub-100000?&logo=github&logoColor=white"></a> <a href="https://twitter.com/soranghadri"><img alt="Twitter" src="https://img.shields.io/badge/Twitter-1DA1F2?&logo=twitter&logoColor=white"></a> <a href="https://www.linkedin.com/in/soran-ghaderi/"><img alt="Linkedin" src="https://img.shields.io/badge/LinkedIn-0077B5?&logo=linkedin&logoColor=white"></a>
<br>
<a href="https://uk.linkedin.com/in/taleb-zarhesh">Taleb Zarhesh</a> (taleb.zarhesh@gmail.com)
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</pre>
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