Indexing an image database for classification and content-based image retrieval: using deep features extracted from neural networks.

Python simulation of the paper "All-optical machine learning using diffractive deep neural networks"

My first ML sandbox

Comprehensive repository featuring in-depth studies and practical projects in ML & DL

Neural Network Research Project. Simulating government decisions via a Neural network.

This neural network is designed to be able to take an 20px-by-20px gray-scale image and detect whether the input image contains either a rectangle or a circle.

WIP project to use reinforcement learning to play Yahtzee. Open to suggestions!

🔍📸🌐 VisualAIProjects: Repository for cutting-edge computer vision and Visual AI projects! Explore 🌟advanced algorithms and models🌟 for image recognition, object detection, segmentation, and synthesis. 🚀🔓 Join us in the captivating world of computer vision and unlock the full potential of Visual AI! 🌍💡

Curso intermedio de Ciencia de Datos (30 hrs)

My graduation project on freezing casting data. Forecasting porosity with AI,

A master repository of all Data Science projects, concepts, tools and resources that I learn and write about on my blog.

MNIST Digit Recognition repository offers a robust solution for recognizing handwritten digits using the MNIST dataset.

Lung Cancer Prediction using Machine Learning Algorithms

Experimenting with neuroevolution and neural networks. An AI learning to play Flappy Bird.

Componentization of neural network for Generative Adversarial Networks and Autoencoders

This project shows how to create and modify neural network layers.

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

🧠 The project aims to predict the popularity of a movie based on it's overview text. It involves a thorough analysis of a movie dataset, exploring various aspects of data preprocessing, model building, training, and evaluation.

Project Overview:- The objective of this hackathon challenge is to develop a robust and efficient algorithm or AI model capable of accurately segmenting the hypodense region from Brain Non-Contrast Computed Tomography (NCCT) images. The primary goal is to automate and streamline the identification of early ischemic changes in acute stroke patients.