Adrián's Projects
AWS Certified Cloud Practitioner (ACCP) cheat sheet
Config files for my GitHub profile.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Interpretability and explainability of data and machine learning models
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A collection of materials related to my certification videos
Code for Data Engineer Zoomcamp course
Collection of useful data science topics along with code and articles
Help ML teams to accelerate their model deployment to production leveraging Azure
Exercises and supplementary material for the machine learning operations course at DTU.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Feature Store for Machine Learning
Azure plugins for Feast (FEAture STore)
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Katacoda Scenarios
Repository for KCNA exam prep and book
The code from the Machine Learning Bookcamp book and a free course based on the book
Adrian's public repository (e.g., docs, code, courses)
Best Practices on Recommendation Systems
This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent