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.

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

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

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

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

🗨️ 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.