Building representation in the vector space
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Updated
Nov 4, 2021 - Python
Building representation in the vector space
Python package for labeing data more efficiently
Word Mini-Game : Guess the secret word ! Play here :
Vectory provides a collection of tools to track and compare embedding versions.
Data Collection repository for Reverse Search Engine
Inspect what phenotypes are associated with a disease
Using embeddings to create memory.
✍️ Convert class slides into beautiful markdown notes!
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.
Exploring building an application in which an LLM can be prompted with the addition of context from a customly managed knowledge bank of data.
Yet Another Word2Vec Implementation
The streamlit application for everyone who want to chit chat with their documents.
A simple python tool for embedding comparison
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.
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.
Chat with the content of PDFs using an informative LLM powered by RAG.
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
AI song recommendations based on the feel of a song
Python library for correcting registry and spelling errors in user input when comparing with a database of texts.
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