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RemEz is a descriptive question based learning platform built for students in highly theoretical subjects. The Frontend and Backend of this platform is built with the MERN stack and tailwind. This repository contains nlp code for pdf processing and descriptive QA generation via a LLM along with a similarity assessment of two descriptive answers.
Text Embedding and Search with PostgreSQL and Hugging Face in Docker. This project demonstrates a Python script that embeds text using a model from Hugging Face, stores the embeddings in PostgreSQL with the pgvector extension, and allows searching the database using regular text queries by comparing embeddings.
Molecular substructure graph attention network for molecular property identification in drug discovery. This is the starting point for my thesis project and is the fork of a repository from the paper https://doi.org/10.1016/j.patcog.2022.108659
asctb-ct-label-mapper: A package to recommend controlled vocabulary for annotations of scRNA-seq datasets. and thereby enable cross-dataset or cross-experiment comparison of annotations.
The Real Time Social Media Content Retrieval System fetches real-time LinkedIn posts based on user queries, offering multiple post retrieval and customization options. Although initially focused on LinkedIn, it can be expanded to incorporate other social media platforms, facilitating cross-channel post similarity searches.