A modular Python library for creating, solving, and visualizing job shop scheduling problems.

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A minimal example showing how to train a GNN in a graph environment with variable-sized observations using gymnasium and RLlib.

Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).

A simple Reinforcement Learning framework to decouple agents from environments in discrete-state settings with implementations of double Q-learning and policy iteration through dynamic programming.

Implementation from scratch (using numpy arrays) of a framework based on keras interface which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).

Práctica de la asignatura de Infraestructura de Big Data

Repositorio para las prácticas de la asignatura Bases de Datos II

ResNet + Transformer with PyTorch to predict characters from synthetic captcha. Kaggle competition for the Machine Learning II course.

A Cookiecutter-Data-Science-based template for Deep Learning projects with PyTorch.

Trabajo de Descubrimiento de Conocimiento y Datos Complejos.

A Question-Answering application designed for YouTube playlists, leveraging a local vector database with NumPy files, and built using HuggingFace and LangChain for backend processing. Streamlit is …

Distributed system for cinema reservation.

An interactive pokedex dashboard using streamlit.

Summaries generated by https://www.youtubechapters.app/ from the playlist: https://www.youtube.com/watch?v=1GhZisgc6DI&list=PLT4XLHmqHJBeB5LwmRmo6ln-m7K3lGvrk&pp=iAQB

Scripts and code for the assignment 3 of Data Visualization

Resolvemos una tarea de regresión sobre la popularidad de las canciones y realizamos visualizaciones. Practicas 1 y 2 de la asignatura MCP.

Solver of the game “Coin Flip Cheaters” which can be found on https://primerlearning.org/. This is not a bot, in order to use it in the real game you would need to do it manually.