Stock price prediction using lstm. Model Deployment using streamlit

Various applications of deep learning have been demonstrated.

Natural Language Description of Videos

Sentiment Analysis with RNN

Natural Language Processing and Understanding tools for financial domain.

simple web app to play around with the text classification model created for sentichat

LSTM tests based on PyTorch, Keras and MXNet

Extract YouTube transcripts and reproduce them using a character-level text generation LSTM.

Web-based application to host a trained coastal forecast machine learning model.

a lstm and a transformer model for arabic text classification. a school project

This Project creates a smart AI computer program that predicts depression from what people write online. It learns patterns in language to spot signs of depression, helping identify those who might need support.

This research aims to develop a model for predicting the price of Bitcoin, Ethereum, Monero and Ripple using deep learning and evaluate its performance.

The Font Recognition project employs a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory Recurrent Neural Networks (LSTM RNNs) to recognize fonts from images. This hybrid architecture is chosen for its ability to capture both spatial features from images (via CNNs) and temporal dependencies within sequences of features

It's a code for chatbot. I completed only training. I get some results its not accurate, I added results.py also . getting Errors. it's results like this response("what is you bank timings") it give exact answer 9 to 6. so you run first train.py then response.py. Now I added full code to get results

Predição de avaliação de games utilizando Bi-LSTM.

Medicine requirement predictor according to weather in the respective area. LSTM model used to make predication more useful.

A machine learning project to predict human activities in an android environment

The scripts and functions I used throughout my Masters thesis. These scripts are for computer vision based machine learning, and include a training pipeline for a CNN+LSTM model architecture. Also included is code for deploying these models on a JetsonNano embedded device in real-time

Generating MIDI files by AI, using piano notes database and librairies such as music21