Predict appropriate emoji based on input sentence

💅💃 Text analyzer using LSTM with Brain.js

Deep-learned metallicity estimation of RR Lyrae-type pulsating stars from their G and Ks light curves

A type of potential-based recurrent neural networks implemented with PyTorch

Exploring the intersection of supervised machine learning algorithms and weather data to drive ClimateWins forward. (CF student project)

Bachelor Project: Training a hierarchical RNN Network to infer navigation in a dynamic scenario

Simple MLP / CNN / RNN neural-networks implementation in csharp. In progress.

Song lyrics generation using Recurrent Neural Networks (RNNs)

Predict the type of the sentence from abstract with recurrent neural network

Predict whether the number of confirmed people will increase or not with the use of RNN.

turbESN is an echo state network implementation, used in my PhD research as part of the DeepTurb project of the Carl-Zeiss Stiftung. See https://pypi.org/project/turbESN/

Long short-term memory (LSTM) trained on a corpus of music to generate novel music

💡🧠💬 Development of Deep Learning models and a Question Answering Engine for Sentiment Classification / NLP tasks.

Language Modeling of Whatsapp conversations with RNNs in Pytorch.

In this project we will construct a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. we will create this model using Amazon's SageMaker service. In addition, we will deploy our model and construct a simple web app which will interact with the deployed model.

A Recurrent Neural Network that generates Pokémon names 💬

feature extraction over raw waveform w/ convolution

Basics to Advanced level Deep Learning using Keras and TensorFlow.

This repository contains a recurrent neural network (rnn) that was trained on Chopin's nocturnes. It also contains a program that parses midi files into strings of characters that are more easily understood by the rnn.

OCR using convolution and GRU from Recurrent neural network