This project aims to simplify texts from research papers using advanced natural language processing (NLP) techniques, making them more accessible to a broader audience
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Updated
Jul 29, 2024 - Jupyter Notebook
This project aims to simplify texts from research papers using advanced natural language processing (NLP) techniques, making them more accessible to a broader audience
Image Caption Generator is a project that aims to generate descriptive captions for input images using advanced predictive techniques
A comparison of E2E and Cascading S2ST systems on the CVSS-C Spanish to English dataset (CommonVoice 4.0)
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Leveraging the BLIP Model for Visual Question Answering: A Comparative Analysis on VQA and DAQUAR Datasets
Creating RAG from Scratch . Creating RAG using the langchain. Creating RAG using llama indexing and Qdrant db
Detecting and Mitigating Self Contradictory Hallucinations in LLMs using a Multi-Agent System and Stepback Prompting
BLEU Score in Rust
Building machine translation models
A library for evaluating Retrieval-Augmented Generation (RAG) systems
Study Uses LLMs to craft accurate, engaging headlines from Reddit Posts
To evaluate machine translation, they use several methods, some of which we fully implemented
⚡ Seq2Seq model combines Attention mechanism
Calculates BLEU Score for evaluation of Language Models
Research and creation of a tool for transforming toxic sentences into neutral forms.
German-to-English fine-tuned T5 base model with dependency-parsing enhancement.
Image Caption Generator using Python | Flickr Dataset | Deep Learning(CNN & RNN)
This project aims to assist visually impaired individuals by providing a solution to convert images into spoken language. Leveraging deep learning and natural language processing, the system processes images, generates descriptive captions, and converts these captions into audio output.
In this project, I define and train an image-to-caption model that can produce descriptions for real world images with Flickr-8k dataset.
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
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