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

[CVPR 2021] Adversarial Generation of Continuous Images

Positional encoding example

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

A PyTorch Implementation of PGL-SUM from "Combining Global and Local Attention with Positional Encoding for Video Summarization", Proc. IEEE ISM 2021

Transformer translator website with multithreaded web server in Rust

Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch

The implementation of transformer as presented in the paper "Attention is all you need" from scratch.

[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 - Tensorflow

The Positional Encoder Decoder is a Visual Basic .NET class that provides functionality for encoding and decoding tokens and sentences using positional embeddings. It allows you to convert between string tokens and their corresponding embeddings, and vice versa.

A Basic Corpus Object , Giving Positional Encoding / Decoding . ,A Fully Loaded Corpus = Corpus > Document > Sentences > Clauses > Words

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

Trading Positional Complexity vs Deepness in Coordinate Networks

Robust Point Cloud Processing through Positional Embedding

Basis invariance synthetic experiment in Appendix D of NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".

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

Comparison of positional encoding schemes in transformer

Code for "The Locality and Symmetry of Positional Encodings" EMNLP Findings