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#

positional-encoding

Here are 75 public repositories matching this topic...

Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

  • UpdatedJul 27, 2025
  • Python

Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.

  • UpdatedFeb 24, 2025
  • Jupyter Notebook

Cameras as Relative Positional Encoding

  • UpdatedOct 20, 2025
  • Python

Official implementation for "DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion".

  • UpdatedNov 25, 2025
  • Python

PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)

  • UpdatedMay 2, 2024
  • Python
gnn-lspe

[CVPR 2021] Adversarial Generation of Continuous Images

  • UpdatedNov 10, 2021
  • Python

[CVPR 2023] This is the official PyTorch implementation for "Dynamic Focus-aware Positional Queries for Semantic Segmentation".

  • UpdatedMar 4, 2023
  • Python

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

  • UpdatedSep 30, 2024
  • Python

Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch

  • UpdatedDec 28, 2022
  • Python

Trading Positional Complexity vs Deepness in Coordinate Networks

  • UpdatedSep 2, 2023
  • Jupyter Notebook

"Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang.

  • UpdatedMay 7, 2024
  • Python

Developed the ViViT model for medical video classification, enhancing 3D organ image analysis using transformer-based architectures.

  • UpdatedMay 22, 2024
  • Jupyter Notebook

This repository offers a comprehensive overview and quantitative benchmarking of positional encoding methods in transformer-based time series models.

  • UpdatedNov 4, 2025
  • Jupyter Notebook

Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures

  • UpdatedOct 27, 2023
  • Python

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。

  • UpdatedMay 3, 2025
  • Python

PyTorch implementation of "Attention Is All You Need" by Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin

  • UpdatedAug 26, 2023
  • Python

🧮 Algebraic Positional Encodings.

  • UpdatedAug 20, 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.

  • UpdatedAug 30, 2025
  • Jupyter Notebook

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