BART (Binding Analysis for Regulation of Transcription) is a bioinformatics tool for predicting functional transcription factors (TFs) that bind at genomic cis-regulatory regions to regulate gene expression in the human or mouse genomes. Please visit here for newest introduction: http://faculty.virginia.edu/zanglab/bart

A Pipeline from data construction to model deployment for Question-generation task using BARTPho.

Causal Inference using Bayesian Additive Regression Trees

Unlock the power of Natural Language Processing (NLP) with our Automatic Document Summarization Model (ADSM), designed to effortlessly distill the essence of lengthy articles and research papers. Tired of drowning in information overload? Let our ADSM be your guide, providing crisp and coherent summaries, saving you valuable time and effort.

This project consists of creating a streamlit app to summarize texts and identify entities. It uses both T5 and BART as summarization tools.

Generates a gist of a speech.

Minimal BART client in Elixir

Web Application for transcribing and summarizing a video

SynopTix is a text summarizer tool built using the BART (Bidirectional and Auto-Regressive Transformers) model.

Reproduction study of the paper "Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts"

A Multimodal Approach to Convert Book Summaries into Artistic Book Covers

The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA

Fetch and display transit times from Bay Area 511 API

Causal inference under multiple treatments using BART

Extractive and abstractive method

An implementation of bayes additive regression tree model atop Apache Spark

This repository contains the project of Natural Language Processing course at IIT Gandhinagar offered by Prof. Mayank Singh during Fall semester 2021-22. In this project an application to scrape stock related posts in real time and generate their summaries was developed.

Web based Text Summarizer