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

Cameras as Relative Positional Encoding

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

[ICML 2026] Official implementation for "DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion".

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

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

[CVPR 2021] Adversarial Generation of Continuous Images

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

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch

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。

"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.

Trading Positional Complexity vs Deepness in Coordinate Networks

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

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

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

完整的原版transformer程序，complete origin transformer program

[CVPR 2026] Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models

Context-aware Biases for Length Extrapolation

🧮 Algebraic Positional Encodings.