BERT QnA API to answer prompts based on Context. (Using CDN)
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Updated
Jun 23, 2023 - HTML
BERT QnA API to answer prompts based on Context. (Using CDN)
StackOverflow web-based application in python with flask framework based on MVC architecture. Worked with MYSQL database and sqlalchemy ORM model to handle data. The user can ask a question, post answer, upvote, downvote, comments, views, search, answer later, bookmark.
Javascript app for questions of 'test' type.
LifeQA website code
MATH26
Config files for my GitHub profile.
A minimalist Q&A website made using Materialize CSS Framework for front-end and Django Framework for back-end
BERT fine tuning implementation used for Question Answering on the SQuAD dataset.
The Tax Questions Bot is a web-based tool designed to help individuals determine their tax-related queries, specifically in Singapore. This bot provides answers to common questions related to income tax, trained on the official regulations.
❓ Question Answer web app using Tensorflow and Django 🐍
Question Answering Demo using Tensorflow.js
deployment of ask me anything on streamlit cloud
An AI bot
This repository provides a Flask web application that harnesses the capabilities of BERT, BART, and RoBERTa models for NLP tasks on the 20 Newsgroups dataset. The application classifies articles, generates concise summaries, and answers user-posed questions.
Question Answering is a website harnesses the power of Natural Language Processing to enable users to ask questions and receive relevant answers. Simply input your text, ask your question, and our system will response, making it easy to interact with information using natural language.
A flask based web app for Question-Answering (Natural Language Processing) data annotation
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