提交 9bd29d16 编写于 作者: V Varuna Jayasiri

readme

上级 05c4b182
...@@ -10,19 +10,21 @@ We will keep adding to this. ...@@ -10,19 +10,21 @@ We will keep adding to this.
**If you have any suggestions for other new implementations, **If you have any suggestions for other new implementations,
please create a [Github Issue](https://github.com/lab-ml/labml_nn/issues).** please create a [Github Issue](https://github.com/lab-ml/labml_nn/issues).**
#### [✨ Transformers](http://lab-ml.com/labml_nn/transformers) #### ✨ [Transformers](http://lab-ml.com/labml_nn/transformers)
[Transformers module](http://lab-ml.com/labml_nn/transformers) [Transformers module](http://lab-ml.com/labml_nn/transformers)
contains implementations for contains implementations for
[multi-headed attention](http://lab-ml.com/labml_nn/transformers/mha.html) [multi-headed attention](http://lab-ml.com/labml_nn/transformers/mha.html)
and and
[relative multi-headed attention](http://lab-ml.com/labml_nn/transformers/relative_mha.html>). [relative multi-headed attention](http://lab-ml.com/labml_nn/transformers/relative_mha.html>).
#### [✨ Recurrent Highway Networks](http://lab-ml.com/labml_nn/recurrent_highway_networks) #### ✨ [Recurrent Highway Networks](http://lab-ml.com/labml_nn/recurrent_highway_networks)
#### [✨ LSTM](http://lab-ml.com/labml_nn/lstm) #### ✨ [LSTM](http://lab-ml.com/labml_nn/lstm)
#### [✨ Capsule Networks]() #### ✨ [Capsule Networks](http://lab-ml.com/labml_nn/capsule_networks/)
#### ✨ [Generative Adversarial Networks](http://lab-ml.com/labml_nn/gan/)
### Installation ### Installation
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...@@ -5,7 +5,7 @@ with open("readme.md", "r") as f: ...@@ -5,7 +5,7 @@ with open("readme.md", "r") as f:
setuptools.setup( setuptools.setup(
name='labml_nn', name='labml_nn',
version='0.4.4', version='0.4.5',
author="Varuna Jayasiri, Nipun Wijerathne", author="Varuna Jayasiri, Nipun Wijerathne",
author_email="vpjayasiri@gmail.com, hnipun@gmail.com", author_email="vpjayasiri@gmail.com, hnipun@gmail.com",
description="A collection of PyTorch implementations of neural network architectures and layers.", description="A collection of PyTorch implementations of neural network architectures and layers.",
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