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

Notebook on finetuning BERT

This notebook leverages Transfer Learning Algorithms and standard NLP procedures to summarize a given paragraph meaningfully.

Exploring Python-based projects

Jupyter Notebooks consisting of various nlp tasks. (NLP role based interviews)

NLP notebooks

My Kaggle submission notebook - 83.8% Accuracy 🤟 (Top 8%)

Notebook Projeto Boamente - NLP - ML - Bert - PyTorch - Projetos criados durante a execução do meu mestrado acadêmico UFDPar 2020-2022

Sentiment analysis - Pytorch

Exploring a collection of Jupyter notebooks showcasing a variety of Natural Language Processing (NLP) projects.

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

A Notebook that demonstrates how to use the BART Transformer model to perform title generation from abstracts.

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

Fine-tune BERT for sentiment analysis. I have done text preprocessing (special tokens, padding, and attention masks) and build a Sentiment Classifier using the amazing Transformers library by Hugging Face! I have train my model on kaggle notebook on gpu. The model give the accuracy of 95.14% on validation dataset.

Learned knowledge and techniques in Deep Learning and also related tools: Python, Pytorch, Jupyter Notebook, RNN, CNN, Reinforcement Learning, LSTM, BERT, Language Modeling

The Sentiment analysis Attitude towards Covid-19 Vaccines in Africa Using Twitter data. All hackathon notebooks of the BIG DATA 2021 - Event held at TUK, sponsored by DARA Big Data, OAD and IDIA.

The project utilizes Natural Language Processing (NLP) techniques to preprocess and analyze video transcripts, and employs a BERT + Bi-GRU model for text classification. The code is implemented in a Google Colab notebook.

This project fine-tunes the BERT model on Kaggle's spam-ham dataset to classify messages. It explores transformers and large language models (LLMs) in generative AI, with potential for customization to other sentiment analysis tasks. The repository includes a single Jupyter Notebook for complete code on preprocessing, training, and prediction.