Popular GitHub Repositories for Long Short Term Memory

End-2-end speech synthesis with recurrent neural networks

GPT-3 Chatbot with Long and Short Term Memory and advanced logic built in javascript with openai API - short and long memory, KYC, embeddings, openai, database, flexible, gpt-3.5-turbo, react

An advanced chatbot that utilizes your own data to provide intelligent ChatGPT-style conversations using gpt-3.5-turbo and Ada for advanced embedding, as well as custom indexes and knowledgebase for a seamless user experience.

A Deep Learning model that predict forecast the power generated by wind turbine in a Wind Energy Power Plant using LSTM (Long Short Term Memory) i.e modified recurrent neural network.

Character Embeddings Recurrent Neural Network Text Generation Models

Created a web app that can automatically score essays. The grading model was trained using HP Essays Dataset from Kaggle. Used Long Short Term Memory (LSTM) network and machine learning algorithms to train model. WebApp was created using Flask framework.

Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound

Generating music using quantum machine learning models. (QuGAN and QLSTM)

Source Code Generation Based On User Intention Using LSTM Networks

This project implements a time series multivariate analysis using RNN/LSTM for stock price predictions. A deep RNN model was created and trained on five years of historical Google stock price data to forecast the stock performance over a two-month period.

This repository includes a reinforcement learning framework for end-to-end type integrated thermal updraft localization and exploitation.

This project focuses on detecting cyberattacks using advanced analytical techniques and a deep learning model. It leverages structured datasets and explores the use of algorithms for detecting anomalies or malicious behavior in network traffic or system logs.

This project compares the accuracy of different machine learning models in the identification and classification of bearing faults from time-series vibration data.

Bitcoin Price Prediction model - LSTM | Multivariable (Price&Polarity) Time Series Forecasting with NLP for Twitter Sentiments aka my Master's Thesis

This repository includes a reinforcement learning framework for solving the tactical decision-making problem subject to cross-country soaring (by the example of the competition task of GPS Triangle racing).

In this notebook, I implemented a recurrent neural network (Long short-term memory) using PyTorch that performs sentiment analysis.

Official Implementation of Integrating Physics-Informed Vectors for Improved Wind Speed Forecasting with Neural Networks

This is a practical implementation implementing neural networks on top of fasttext as well as word2vec word embeddings.

LSTM Network from Scratch in C++

AI that makes music. The future is now ?