My Projects
These are my main projects that I myself have been develop during my timeline as a programmer. I suggest to check them out and have some fun :)
Glitch with C++ and OpenMP
Pixel Sorting algorithms written in C++ with OpenMP support. This tool allows you to make glitch effects on an image from your command line.
Gorip v1.0
A tool for Facebook Scrapping, and have some interaction without the need of a web browser
Polynomial Regression Visualization
A polynomial regression interface to experiment with. Made with react JS, Chart.js and Mathjs.
MNIST with Artificial Neruronal Network
A basic Artificial Neuronal Network from scratch to deal with MNIST task (Recognition of Handwritten Digits). This artificial neruonal network only contains two layers, the input layer with 784 nodes wich is fully connected with the output layer w...
Snake 3D - Reinforcement Learning
The project itself consists in the recreation of the classic video-game "The Snake" into a 3D scenario. Implementing the computer graphics with the support of Three.js library, developing the mechanics of the 3D ...
KNN implementation with Python
Implementation of a classification algorithm, call it KNN, which belongs to supervised learning paradigm of the tree main types of learning in machine learning. It uses the euclidean norm to calculate the distance among all neighbours with respect...
K-Means implemented with C++
Implementation of K-Means algorithm which is clustering algorithm that specifically belongs to unsupervised learning. This algorithm seeks to find the centroids among all points, base on the number of 'K' clusters, with the main purpose to group u...
Nov 25, 2021
Glitch with C++ and OpenMP
Description:
Pixel Sorting algorithms written in C++ with OpenMP support. This tool allows you to make glitch effects on an image from your command line.
C++
OpenMP
CMake
PNG
Jan 18, 2021
Gorip v1.0
Description:
A tool for Facebook Scrapping, and have some interaction without the need of a web browser
Scrapping
Nov 12, 2020
Polynomial Regression Visualization
Description:
A polynomial regression interface to experiment with. Made with react JS, Chart.js and Mathjs.
Javascript
ReactJS
Chart.js
Mathjs
Jun 28, 2020
MNIST with Artificial Neruronal Network
Description:
A basic Artificial Neuronal Network from scratch to deal with MNIST task (Recognition of Handwritten Digits). This artificial neruonal network only contains two layers, the input layer with 784 nodes wich is fully connected with the output layer with 10 nodes, without any activation function. By default the ANN was only trained with 19,000 images instead of the 60,000 images in total. Further if you want to improve the accuracy of the predictions you are welcome to train the model.
Python
Digits
AI
Recognition
May 25, 2020
Snake 3D - Reinforcement Learning
Description:
The project itself consists in the recreation of the classic video-game "The Snake" into a 3D scenario. Implementing the computer graphics with the support of Three.js library, developing the mechanics of the 3D environment from scratch. More over the project has the implementation of a reinforcement learning algorithm, using the Monte Carlo Methods theory describe by S. Sutton and G. Barto in their book "Reinforcement Learning an Introduction". Specifically the project has the algorithmic implementation of Monte Carlo Exploring Starts. In general, this method seeks to find the best action to take in a certain state, mapping a certain action, which is going to maximize the reward in a long term, with a respective state.
Javascript
Minigame
Reinforcement Learning
3D
Mar 17, 2020
KNN implementation with Python
Description:
Implementation of a classification algorithm, call it KNN, which belongs to supervised learning paradigm of the tree main types of learning in machine learning. It uses the euclidean norm to calculate the distance among all neighbours with respect to the unknown neighbour. The implementation was made with python, and the purpose of the "project" itself, it was for pure academic demonstration.
Python
Supervised Learning
Classification
Numpy/Plotly
Jun 05, 2019
K-Means implemented with C++
Description:
Implementation of K-Means algorithm which is clustering algorithm that specifically belongs to unsupervised learning. This algorithm seeks to find the centroids among all points, base on the number of 'K' clusters, with the main purpose to group up certain observation that are going to belong to a certain centroid.
C++
Unsupervised Learning
Python
Matplotlib