🚇 Archive of daily ridership data from BART.

A chatbot that emulates Pikastunner's physical and vernacular form.

This project aims to simplify and summarize scientific data , convert it to a audio format as a podcast , and create a power point presentation from the paper. This helps researchers, academics and students altogether.

Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).

The cross-platform app for efficiently performing Bayesian causal inference and supervised learning tasks using tree-based models, including BCF, BART, and XBART.

The LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project uses advanced natural language processing to improve research efficiency. It offers concise summaries and answers questions about hydrogen storage research papers, helping users quickly understand key insights and latest advancements.

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

This repository explores the use of advanced sequence-to-sequence networks and transformer models, such as BERT, BART, PEGASUS, and T5, for summarizing multi-text documents in the medical domain. It leverages extensive datasets like CORD-19 and a Biomedical Abstracts dataset from Hugging Face to fine-tune these models.

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

This repository contains implementations of abstractive text summarization using RNN ,RNN with Reinforcement learning and Transformer architectures.

comprehensive solution for automatic spelling correction, offering functionalities for dataset preparation, model fine-tuning, deployment, and testing

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

Abstractive summarization of Reddit datasets with transformers

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

Unlock the depths of Wikipedia with WikiBot. It delivers concise summaries and suggests related articles to fuel your curiosity and guide your exploration.

A project improves the quality and accuracy of the Vietnamese language.

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