Popular GitHub Repositories for Rnn Lstm

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron

Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

This repository contains the notebooks used in my project "Air quality analysis and forecasting"

Weather forecasting using recurrent neural network

In this project we will be building a model capable of generating notes and chords after learning from the dataset of songs we provide to our recurrent neural network and create songs. Before we start, let us recall few of the basic concepts and terminologies we will be using in this project and add to that knowledge the concepts required to successfully train our model to be an excellent composer.

This project contains the file of my undergraduate Final Year Project. This project aims to expose cyberbullying in Twitter by using Machine Learning to classify whether the tweet is suspicious or not. A deployment has been created using streamlit.

Coherent / Meaningful lyrics generation using RNNs , with a dataset created by web-scraping the GENIUS website using its API.

? Leveraging advanced RNN with LSTM for efficient, real-time anomaly detection in IoT networks, optimized for performance in resource-constrained environments.

This is my first deep learning project in which I implemented a LSTM model on abc notation music data.

Time series analysis on NIFTY-50 index stock data. The project visualises trends in stock data and explores various time-series analysis models such as ARIMA, ARMA and deep learning models such as LTSM and RNN to predict stock prices with the highest accuracy.

This is just a simple RNN text generation model that generates new scripts of Friends TV Show.

RNN using LSTM layers in coded in Python using Keras to predict Google open stock prices.

AmazonReviewsRatings - LSTM -Sentiment Analysis - Please find the Amazon Dataset in the below URL.

Studied the impact of adversarial attacks on RNN Based load forecasting model.

Text Generator for Amazon Ads. Use Natural Language Generation (NLG) technology to auto-generate text. Fine-tuning of pre-trained gpt-neo models to improve upon the RNN LSTM model

Stock Market Analysis: Time Series Forecasting with ML & RNN-LSTM techniques

El Proyecto Cuadrante Neuronal Cuántico (QNC) intenta crear un puente entre el campo de la inteligencia artificial y la computación cuántica.