A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

DL-MPC(deep learning model predictive control) is a software toolkit developed based on the Python and TensorFlow frameworks, designed to enhance the performance of traditional Model Predictive Control (MPC) through deep learning technology. This toolkit provides core functionalities such as model training, simulation, parameter optimization.

Cross Atlas Remapping via Optimal Transport

Building age prediction with Computer Vision and images from Google Street View.

A multi-threaded project creation tool that automates setup and initialization for various programming languages using Python.

The Predictive Maintenance API is an advanced AI-powered solution for monitoring, analyzing, and predicting failures in industrial equipment. By integrating IoT sensors and ERP systems, this API processes real-time data to detect anomalies and predict failures before they happen, reducing maintenance costs and downtime.

Basic POC to showcase how to sample data for an imbalanced ad-clicks predictive model.

Sistema de seguimientos de tareas con estados, tipos, prioridad por máquina y/o activo

1st place @ Predictive Analytics Hackathon, Hannover, 11.11.2017

Designed a webscrapping script to apply a predictive model to a self generated dataset of an online classified

Application created on Streamlit with a kaggle data set based on Transfermarkt. This app allows agent to track for unrepresented football players. It also includes a predictive model to estimate the potential market value of the player.