This repo contains implementation of some basic ML algorithms from scratch on PyTorch with GPU support.

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.

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

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

Some basic examples of deep learning neural networks that ilustrate the basic architectures and algorithms and respective implementations in python/pytorch.

Vanilla RNN example on the MNIST dataset using a 1-1 RNN model with one timestep.

Rede Neural Artificial para análise de sentimentos em sentenças em língua inglesa. A Rede Neural Artificial Recursiva Long Short-Term Memory foi implementada para o treinamento do modelo de análise. Com a aplicação da RNA desenvolvida sobre uma base de dados pública com 50.000 registros de filmes usando GPU foi possível reduzir o tempo de treina…

This is a Recurrent Neural Network based project to generate Novel readable tweets from a short list of given tweets.

Web app where users can analyze the sentiment of recent tweets using an RNN to determine how society feels about certain issues

Bengali sentiment analysis by using Recurrent Neural Network (RNN). Python project.

Classifies emails into ham or spam based on the mail contents. Implemented with TensorFlow.

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

Implementation of a simple recurrent neural network in Python 3 and Numpy

Distributed tensorflow port for character rnn

Work done in TDT4171 - AI Methods @ NTNU

Worked with research peers on Neuromatch academy. This is a Russian to English Deep learning NLP translation model

Language Modeling of Whatsapp conversations with RNNs in Pytorch.

feature extraction over raw waveform w/ convolution

Stock price prediction using Recurrent Neural Networks (RNN)

Generating MNIST images with a Recurrent Neural Network (RNN) in PyTorch