positional-encoding

Reproducible study of token-index and metric positional encoding in UNETR under controlled CT spacing changes.

Exploring the architecture of the tech and its evolution that forms the backbone of the state-of-the-art NLP systems

Code implementation of Transformer Model in "Attention is All You Need" in PyTorch.

Interactive visual explainer for Rotary Position Embedding (RoPE) used in LLaMA, Qwen, Mistral

Positional encoding example

This repository provides a complete workflow for text processing using Hugging Face Transformers and NLTK. It includes modules for sentence normalization, spelling correction, word embedding generation, positional encoding computation, and English-to-French translation

Spiking sequence machines and transformers paper. Formal equivalence between spiking sequence machines and transformers · Phase-Latency Isomorphism · arXiv:2605.00662 · University of Manchester PhD thesis 2007

Criando um modelo Transformer do zero com Positional Encoding / Posições treináveis, MultiHead Attention, KV Cache e Grouped Attention com alguns livros brasileiros.

Transformer Encoder From Scratch: A PyTorch Implementation

Decoder-only transformer, simplest character-level tokenization, training and text generation.

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.

Annotated vanilla implementation in PyTorch of the Transformer model introduced in 'Attention Is All You Need'.

Adaptive Rotary Positional Embeddings for High-Precision Robotic

Implementation of advanced Natural Language Processing architectures and optimization techniques, built from scratch. The projects focus on understanding the internal mechanics of Transformers, LLM efficiency through quantization, and scaling via Mixture-of-Experts (MoE).

Transformer Neural Network built from scratch using pytorch.

CPE-CA-SWIN - Conditional positional encoding and channel-attention guided Swin Transformer for breast cancer classification on MRI and mammography

Transformer based chatbot based on "Attention is all you need"

Foundation, variants and extensions of positional encoding including Sinusoidial, Relative, Rotary, ALiBi, and Dynamic positional encodings

Vision Transformer