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.

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

Project implements NLG to generate song lyrics using long-short-term-memory(LSTMs).

Predicting trajectory paths of novel compounds employing RNN-based models (computational chemistry simulation-based problem)

Hyperparameters optimization using genetic algorithms

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 informati…

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

Creating artificial music though LSTM Recurrent Neural Networks

Beginners' try with natural-language-processing end-to-end projects.

Predictive Modelling of Time Series Data using LSTM RNNs

Project for Context Aware Security Analitycs @ Unisa, Winter 2019