Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA

?? notes for Multi-hop Reading Comprehension and open-domain question answering

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

NLP notebooks

Question-Answering with RAG and local LLMs over your Jupyter Notebooks

A jupyter notebook for topic-modelling, clustering and question-answering on COVID-19 research papers.

Dataset and notebooks of `Knowledge Graph Based Retrieval-Augmented Generation for Multi-Hop Question Answering Enhancement` paper

Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI

If you want to learn these topics, i refer you to go through this notebook.

Tutorial of Question Answering using SQuAD in English and Spanish with BERT and BiDAF.

??? This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.

This repository consists of a notebook, which will aid you to create a very simple BERT Question Answering Model

Advanced NLP with Contextual Question Answering: This notebook extracts, cleans, and processes text data from multiple files. It utilizes transformer models for contextual question answering and sentence generation. Perfect for exploring cutting-edge NLP techniques and comparing transformer model performances.