Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA
-
Updated
Apr 13, 2020 - Jupyter Notebook
Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
Tutorial of Question Answering using SQuAD in English and Spanish with BERT and BiDAF.
NLP notebooks
📔 notes for Multi-hop Reading Comprehension and open-domain question answering
A jupyter notebook for topic-modelling, clustering and question-answering on COVID-19 research papers.
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI
Question-Answering with RAG and local LLMs over your Jupyter Notebooks
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.
🗨️ This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.
Add a description, image, and links to the question-answering topic page so that developers can more easily learn about it.
To associate your repository with the question-answering topic, visit your repo's landing page and select "manage topics."