Language traslation project from Udacity 'deep learning' course
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Updated
Sep 26, 2018 - HTML
Language traslation project from Udacity 'deep learning' course
Capstone project: Takes an english video as input and generates a telugu video output
Demo of @i18n-pro/vue
using encoder decoder neural net architecture to translate french to english
Attention-Based Neural Machine Translation Model, for Spanish to English translation.
Hindi to English translation using Seq2Seq with attention mechanism model
This repository contains NLP related projects
Transformer-based Neural Machine Translation model for English to Italian, built with PyTorch and Hugging Face’s transformers. This project includes full training and inference capabilities, and is designed to demonstrate the implementation of the architecture as described in the ‘Attention is All You Need’ paper.
Translate from English to French using machine translation models. It includes training and evaluating Helsinki-NLP's Opus-MT and Google's T5 models on the WMT14 French-English dataset. The integration allows users to practice literacy in both English and French
Implementing a transformer from scratch for a machine translation task
Final project repository for CSCI 2470: Deep Learning
Active Learning with Expert Advice for Real World Machine Translation
Seq2Seq Model for Machine Translation, there are two versions of the same model, the second model uses transfer learning to get weights from the RNN.
Implementation of the NeurIPS 2017 paper "Attention is All You Need" from scratch
Benchmarking script to evaluate language translation across multiple deployed models
IndicTrans2 is the first open-source transformer-based multilingual NMT model that supports high-quality translations across all the 22 scheduled Indic languages — including multiple scripts for low-resouce languages like Kashmiri, Manipuri and Sindhi.
Turkish English Parallel Corpus Generator
Backend DB for Corpas Comhthreomhar Gaeilge-Béarla, an Irish-English parallel corpus
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