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.
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Updated
Sep 11, 2024 - Jupyter Notebook
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.
yet another comparison of neural net archs for image enhancement task
This repository contains an implementation of Stock Market prediction using Stacked LSTMs.
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.
An analog gauge reading app using CNN
All the Deep Learning Projects I have been working on using Python.
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
Support Tickets Classification According to their Departments(ML and DL )
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
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