Enrique Manuel Companioni Valle's Projects
Autonomous Path Pilot using ROS and Turtlebot3 Waffle Pi
Data visualization cheat sheet
In this project, a model of a differential drive robot (DDR) was designed for use with ROS and Gazebo. The model includes lidar and collision sensors. Additionally, three nodes were coded to obtain laser data and control the movement of the robot.
In this project, a differential drive robot (DDR) model with a laser sensor was designed for Pygame.
This project automates the recipe selection process to increase traffic on a fictional recipe website by implementing a machine learning solution.
Extended Kalman Filter
In this project, a web application was developed utilizing Streamlit for the purpose of scraping GitHub user information. The application presents fundamental user information along with their repositories.
Image Classification of cats and dogs with Transfer Learning in Keras. Beginner level
Image enhancement and impulsive noise removal using unsharp mask and adaptive image processing
This is a simple code for apply logic operations between images
This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.
This project aims to differentiate among various diseases (multiclass prediction) present in mango leaves. Various machine learning techniques were employed in this project to achieve optimal performance in a model capable of predicting multiple classes.
This notebook is part of a DataCamp competition. The challenge involves extracting relevant information about nutritional components from a food dataset and fitting a regression model to predict the calories of the foods.
This project aims to find a possible solution to a search problem in a given environment with two players using Deep Reinforcement Learning. Additionally, after one player finds the other, the task shifts to maintaining visibility for the longest possible time
This project aims to find a possible solution to a search problem in a given environment with two players using Proximal Policy Optimization as AI algorithm.