This repository contains code for generating new music using Generative Adversarial Networks (GANs). GANs are a type of deep learning model that can learn to generate new data that resembles the training data. In this case, we use GANs to generate music sequences based on existing MIDI files.

This repo. for code and data set fro different human activities and Gait analysis research https://sites.google.com/view/vsemwal/research/human-activities-gait-data-set

Este projeto implementa uma rede neural simples do zero para classificar o conjunto de dados MNIST usando apenas NumPy e muita matemática. A rede é treinada usando gradiente descendente e avaliada em um conjunto de testes.

An analog gauge reading app using CNN

Using the concepts of signal processing, machine learning and neural networks, predicting the motor activity(running,walking,jumping,climbing) of an individual using data collected by accelerometer and gyroscope, by applying time-series analysis

Support Tickets Classification According to their Departments(ML and DL )

Vaiga Agri Hackathon Winning App backend code

This repository contains an implementation of Stock Market prediction using Stacked LSTMs.

Understanding Neural networks

Endoscope Polyp Detection Network

yet another comparison of neural net archs for image enhancement task

Example of the use of the ENet model trained on the Cityscapes dataset, applied to the identification of the region of pixels belonging to the road and its edge.

All the Deep Learning Projects I have been working on using Python.

Neural Network project in R language