link to translations

Author: vpj

docs/index.html

@@ -73,6 +73,7 @@ <h1><a href="index.html">labml.ai Annotated PyTorch Paper Implementations</a></h
 <p>This is a collection of simple PyTorch implementations of neural networks and related algorithms. <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations">These implementations</a> are documented with explanations, and the <a href="index.html">website</a> renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better.</p>
 <p><img alt="Screenshot" src="dqn-light.png"></p>
 <p>We are actively maintaining this repo and adding new implementations. <a href="https://twitter.com/labmlai"><img alt="Twitter" src="https://img.shields.io/twitter/follow/labmlai?style=social"></a> for updates.</p>
+<h2>Languages: <strong><a href="https://nn.labml.ai">English</a></strong> | <strong><a href="https://nn.labml.ai/zh/">Chinese (translated)</a></strong></h2>
 <h2>Paper Implementations</h2>
 <h4>✨ <a href="transformers/index.html">Transformers</a></h4>
 <ul><li><a href="transformers/mha.html">Multi-headed attention</a> </li>

labml_nn/__init__.py

@@ -14,6 +14,7 @@
 implementations.
 [![Twitter](https://img.shields.io/twitter/follow/labmlai?style=social)](https://twitter.com/labmlai) for updates.
 
+## Languages: **[English](https://nn.labml.ai)** | **[Chinese (translated)](https://nn.labml.ai/zh/)**
 
 ## Paper Implementations