CISO Assistant is a one-stop-shop GRC platform for Risk Management, AppSec, Compliance & Audit, TPRM, BIA, Privacy, and Reporting. It supports 150+ global frameworks with automatic control mapping,…

Industrial protocol transcriber - a common representation of industrial communication as input for protocol-independent industrial intrusion detection systems.

Industrial Intrusion Detection - A framework for protocol-independent industrial intrusion detection on top of IPAL.

A bot that will constantly look for new giveaways and contests on Twitter; and enter to all of them! It will do whatever it's needed, either retweeting or liking something, or even following and DM…

Emulator for rapid prototyping of Software Defined Networks extended to support Vehicle To Grid (V2G) communications

An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.

Merlion: A Machine Learning Framework for Time Series Intelligence

Automatize patching of Xiaomi Mijia M365 electric scooter firmware

The Verifiably Safe Reinforcement Learning Framework

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Visualization Collider Effect: ShinyApp

HWs of the Advanced Machine Learning course

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Cinco game.

Some works where I used time series.

This is a project of the Foundations of Artificial Intelligence course of the MSc in AI of Centralesupelec.

Continual Reinforcement Learning in 3D Non-stationary Environments

Algorithms for encoding and decoding CD-quality audio signals by means of DPCM technique and Golomb procedure.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Some deep learning demos.

LDPC Code Implementation of the G.hn ITU G9960 standard proposed by the ITU-T. Jan 2017 – Apr 2017

Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"

Visualization Collider Effect: ShinyApp

Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

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