Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings
#

positional-encoding

Here are 77 public repositories matching this topic...

本仓库定位为 AI论文复现 / 从零实现 Transformer。 代码遵循原论文的模块划分,包含位置编码、多头注意力、前馈网络、编码器‑解码器等全部组件,并附带详细的中文拆解文档与英文注释,方便学习与二次开发。

  • Updated May 3, 2025
  • Python

A clean, ground-up implementation of the Transformer architecture in PyTorch, including positional encoding, multi-head attention, encoder-decoder layers, and masking. Great for learning or building upon the core model.

  • Updated Aug 30, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the positional-encoding topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the positional-encoding topic, visit your repo's landing page and select "manage topics."

Learn more

Morty Proxy This is a proxified and sanitized view of the page, visit original site.