Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA
The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.
This notebook will show you how to implement a deep leaning algorithm (LSTM) on the Amazon Alexa Reviews dataset
Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook
Learned knowledge and techniques in Deep Learning and also related tools: Python, Pytorch, Jupyter Notebook, RNN, CNN, Reinforcement Learning, LSTM, BERT, Language Modeling
This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.
Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.
A project for predicting Tata Motors stock prices using LSTM neural networks. It includes historical data from July 1991 to June 2024, with notebooks for model training, testing, and evaluation. The repo features datasets, model files, and performance metrics.
This is a machine learning and NLP based application to perform Exploratory Data Analysis on WhatsApp Chat and used LSTM (Long Term Short Memory) Model to detect emotion from text. I have used Python3, Jupyter Notebook, Streamlit and LSTM (Long Short Term Memory) Architecture for this Project
Add a description, image, and links to the lstm-model topic page so that developers can more easily learn about it.
To associate your repository with the lstm-model topic, visit your repo's landing page and select "manage topics."