A Framework to streamline the research of seq2seq models
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Updated
Jul 2, 2024 - Python
A Framework to streamline the research of seq2seq models
Code to address Natural Language Generation Tasks via Transformer Architecture
Transformer Architectures Comparison in Natural Language Generation Tasks
Welcome to the GitHub repository for my Bachelor of Technology (B.Tech) thesis project, focused on integrating linguistic features into French language processing. This repository serves as a central hub for all the code, resources, and documentation related to my research and implementation efforts.
This repository contains the code, the dataset and the experimental results related to the paper "Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks" accepted for publication at The 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024).
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
Static code analysis for powershell code through PSScript Analyzer
A neural machine translation with Seq2Seq LSTM in Keras
A machine translation worker to process requests via a message queue. Compatible with TartuNLP's public translation engines.
Neural Machine Translator with Transformers. Implementation for "Attention Is All You Need" paper
Implementing neural machine translation from scratch using Python,Keras.
Minimalist NMT for educational purposes
Code to address Natural Language Generation Tasks via Sequence to Sequence Architecture with Attention Mechanism
Code to address Natural Language Generation Tasks with Sequence to Sequence Architecture
A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.
M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation
A local Web UI for the huggingface/Helsinki-NLP machine translation (NMT) models
A tool to perform functional testing and performance testing of the Dhruva Platform
NMT with Hugging Face using ClearML
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