There are 0 repository under positional-encoding topic.
Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)
[CVPR 2021] Adversarial Generation of Continuous Images
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
Trading Positional Complexity vs Deepness in Coordinate Networks
"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.
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures
Implementation of Rotary Embeddings, from the Roformer paper, in Tensorflow
Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021.
Official code for NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".
The implementation of transformer as presented in the paper "Attention is all you need" from scratch.
Code for "The Locality and Symmetry of Positional Encodings" EMNLP Findings
Annotated vanilla implementation in PyTorch of the Transformer model introduced in 'Attention Is All You Need'
Basis invariance synthetic experiment in Appendix D of NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".
Official code for NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".
This repo contains a basic transformer implementation
完整的原版transformer程序,complete origin transformer program
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
Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding - Tensorflow
This is a novel Transformer network based approach to distinguish ChatGPT generated Text from Human text. The model was also deployed on local server using Flask where Docker was used to manage all dependencies.
Comparison of positional encoding schemes in transformer
Transformer translator website with multithreaded web server in Rust
Positional encoding example
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.