gmpal,Gian Marco Paldino,github

Hi there 👋

🎓 About Me

Name: Gian Marco Paldino
Title: PhD Student at ULB
Research Area: Machine Learning

🚀 What I'm Up To:

🔭 Research: Diving deep into innovative ML algorithms that can revolutionize the way we understand data.
🌱 Learning: Always seeking to expand my horizons. Currently delving into the world of causal inference and graph neural networks.
📚 Libraries: Porting the D2C library to Python and planning major improvements: D2CPY

🌐 Collaboration & Community

👯 Collaboration: Open to collaborating on ML research. If you have an interesting proposal, reach out!
🤔 Mentorship: Always keen to support young talent. If you're starting in the ML world and need guidance, let's chat!

💡 Let's Talk

💬 Ask me about: My research, ML, ULB, or even the best places in Brussels!
📫 How to reach me: Drop me an email or connect with me on LinkedIn.

Thanks for stopping by and happy coding! 👨‍💻

Gian Marco Paldino's Projects

ankigpt

Automatically generate comprehensive Anki flashcard decks on any topic using the power of chatGPT. Turn a simple topic into a rich learning experience with AI-driven content.

apartments_energy

Traditional machine learning approaches for predicting energy consumption per square meter of synthetic apartments.

d2c_python

The goal of this repository is to make a complete Python version of the original R repository.

diversity_ensemble_fraud_detection

Preliminary code for the article 'The role of Diversity and Ensemble Learning in Credit Card Fraud Detection'

This repository contains experiments on Dynamic Thermal Rating (DTR), a method for real-time monitoring of a transmission line's thermal capacity. Experiments may include simulations, data analyses, and testing of DTR algorithms.

fastbook

The fastai book, published as Jupyter Notebooks

gbcode_python

The goal of this repository is to make a complete Python version of the original R repository.

mynanogpt

Working on Karpathy's Let's build GPT video!

readme-md-generator

📄 CLI that generates beautiful README.md files

statisticalfoundationsml_infof422

Repository for the Statistical Foundation of Machine Learning class (INFO-F-422).

td2c

TD2C (Time-Dependency to Causality) is a library for time series causal discovery that centers on computing asymmetric conditional mutual information terms, called descriptors, within the Markov blankets of variable pairs.

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