A clean PyTorch implementation of the original Transformer model + A German -> English translation example
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Updated
Jan 24, 2022 - Python
A clean PyTorch implementation of the original Transformer model + A German -> English translation example
Repository for a transformer I coded from scratch and trained on the tiny-shakespeare dataset.
HighNoon LLM uses Hierarchical Spatial Neural Memory (HSMN) to process language like humans, organizing text into a tree for efficiency. It cuts computing needs by 78x, excelling in summarization, coding, and Q&A, while running locally for privacy.
Implement the "Attention Is All You Need" paper from scratch using PyTorch, focusing on building a sequence-to-sequence transformer architecture for translating text from English to Italian
A Comprehensive Implementation of Transformers Architecture from Scratch
Modular Python implementation of encoder-only, decoder-only and encoder-decoder transformer architectures from scratch, as detailed in Attention Is All You Need.
This project aims to build a Transformer from scratch and create a basic translation system from Arabic to English.
This repository contains my coursework (assignments & semester exams) for the Natural Language Processing course at IIIT Delhi in Winter 2025.
PyTorch Transformer for neural machine translation (NMT), inspired by "Attention Is All You Need". Includes training, inference, and attention visualization.
Collection of implementations from scratch (mostly ML)
PyTorch implementation of Transformer from scratch
Implementation of Transformer:"Attention Is All You Need" in Pytorch
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