learning/annotated_deep_learning_paper_implementations
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Varuna Jayasiri
2022-02-23 15:10:49 +05:30
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labml_nn/__init__.py
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@ -22,6 +22,7 @@ implementations.
* [Transformer building blocks](transformers/models.html)
* [Transformer XL](transformers/xl/index.html)
* [Relative multi-headed attention](transformers/xl/relative_mha.html)
* [Rotary Positional Embeddings](transformers/rope/index.html)
* [Compressive Transformer](transformers/compressive/index.html)
* [GPT Architecture](transformers/gpt/index.html)
* [GLU Variants](transformers/glu_variants/simple.html)

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labml_nn/transformers/__init__.py
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@ -22,6 +22,9 @@ and derivatives and enhancements of it.
This implements Transformer XL model using
[relative multi-head attention](xl/relative_mha.html)
## [Rotary Positional Embeddings](rope/index.html)
This implements Rotary Positional Embeddings (RoPE)
## [Compressive Transformer](compressive/index.html)
This is an implementation of compressive transformer

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readme.md
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@ -24,6 +24,7 @@ implementations almost weekly.
* [Transformer building blocks](https://nn.labml.ai/transformers/models.html)
* [Transformer XL](https://nn.labml.ai/transformers/xl/index.html)
* [Relative multi-headed attention](https://nn.labml.ai/transformers/xl/relative_mha.html)
* [Rotary Positional Embeddings](https://nn.labml.ai/transformers/rope/index.html)
* [Compressive Transformer](https://nn.labml.ai/transformers/compressive/index.html)
* [GPT Architecture](https://nn.labml.ai/transformers/gpt/index.html)
* [GLU Variants](https://nn.labml.ai/transformers/glu_variants/simple.html)