There are 2 repositories under rnn-keras topic.
Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)
This repository contains the course materials that were used for Coursera TensorFlow specialization course.
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.
Weather forecasting using recurrent neural network
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
This is my first deep learning project in which I implemented a LSTM model on abc notation music data.
Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets.
Project implements NLG to generate song lyrics using long-short-term-memory(LSTMs).
Trigger word detection is the technology that allows devices like Amazon Alexa, Google Home, Apple Siri, and Baidu DuerOS to wake up upon hearing a certain word
Predicting trajectory paths of novel compounds employing RNN-based models (computational chemistry simulation-based problem)
The project is build to generated music using a Recurrent Neural Dense Network on a kaggle dataset.
Neuromodulated bistable recurrent cell from https://arxiv.org/abs/2006.05252
This project will focus on using Natural Language Processing (NLP) techniques to find broad trends in the written thoughts of the customers. The goal in this project is to predict whether customers recommend the product they purchased using the information in their review text. One of the challenges in this project is to extract useful information from the "Review Text" variable using text mining techniques. The other challenge is that we need to convert text files into numeric feature vectors to run machine learning algorithms.
Creating artificial music though LSTM Recurrent Neural Networks
Predictive Modelling of Time Series Data using LSTM RNNs
Automatically describing the content of an image fundamental problem in artificial intelligence that connects computer vision and natural language processing.
Beginners' try with natural-language-processing end-to-end projects.
Hyperparameters optimization using genetic algorithms
Project for Context Aware Security Analitycs @ Unisa, Winter 2019
A project that experiments the performance of different machine learning models and RNN on tweet classification based on whether they are about real disasters or not.
Twitter data on US Airlines Sentiment Analysis with Deep Learning (LSTM and CNN)
Walmart stock price prediction using keras (LSTM and GRU comparison)
Classifying multimodal health data with LSTMs
Predictive maintenance study for Complex case study, we've obtained failure causes by operational error and more deeply by design mistakes.
emoji prediction using LSTM
Application of LSTM networks and modified RNN cells to various Time Series Classification problems
RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa
Decipher encrypted strings with various simple recurrent neural networks
Are the reviews about the movies positive or negative? We are trying to predict this using the RNN model.
Stock Market Prediction Algorithm Implementation for major giants of India