During the project for the DIGITAL SIGNAL IMAGE MANAGEMENT course I learned how to manage and process audio and image files. The aim of the project was the classification, through machine learning and deep learning models, of musical genres by extracting specific audio features from the "gtzan dataset" dataset files with which to train the model…

Sarcasm prediction with the help of deep learning, using Tensorflow 2.0

In this project, I use Keras and TensorFlow to classify digits and python's Tkinter library to visualize

Predict whether cancer present is through benign tumor or malignant through the use of neural networks in Rstudio.

Timeseries Data Analysis and Forecast of the sales from a superstore in 2015-2018

neural network that classifies handwritten digits.

Tensorflow 2.0 and Keras Regression and Classification including TensorBoard.

This is my graduate thesis, a mobile applicaiton with computer vision

A neural networks that recognise handwritten digits

Python autoencoder to remove blur from images

Androidアプリ× 物体検出AI

A Flutter Mobile Application that can Classify Chicken Disease using an Image

📚 케라스 창시자의 딥러닝 with R

A Quasar (Vue.js) App With Study TensorFlow Apps

AIWA Web is a web based platform which helps you track and monitor your workouts at the comfort of your house.

Docker images for the machine learning environment. This project cover Python and ML packages, GPU support, C++.

This project aims to built, test and select a Natural Language Processing model that has optimal performance to predict cyberbullying type of tweets from an account

Classifying Music Genre with Urban Sound Dataset, Preprocessing with Librosa and Torch audio, Model made in Tensorflow and PyTorch