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.
Weather forecasting using recurrent neural network
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.
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
This project uses RNN classification and tells the Movie review analysis
Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets.
This is my first deep learning project in which I implemented a LSTM model on abc notation music data.
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)
Creating artificial music though LSTM Recurrent Neural Networks
Project implements NLG to generate song lyrics using long-short-term-memory(LSTMs).
Hyperparameters optimization using genetic algorithms
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 informati…
The project is build to generated music using a Recurrent Neural Dense Network on a kaggle dataset.
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.
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