geduardo Goto Github PK

followers: 10.0 following: 8.0 repos: 25.0 gists: 0.0

Name: Eduardo González Sánchez

Type: User

Company: ETH Zurich

Bio: Hi, I'm a theoretical physicist by formation that degenerated in a computer scientist, kinda. Interested in AI, physics, engineering, quantum info and games.

Twitter: qedgs

Location: Zürich

Hi there 👋

⚡ I’m currently working at IWF (ETH Zürich) trying to apply AI to learn more about the complex physical processes.
🌱 I’m currently learning: C++ and Arduino (perks of stepping into the engineering world with a theoretical physics background)
👯 I’m looking to collaborate on any project that is fun. I particularly like to smash games using AI bots.
🤔 I’m looking for help with a presonal project I'm trying to start. It consist in creating a open-source environment for artificial agents that do science. If you are interested please reach out to me to my email.
📫 How to reach me: email.

Eduardo González Sánchez's Projects

azure-docs

Open source documentation of Microsoft Azure

azure-reference-other

Reference documentation for U-SQL, Stream Analytics query language, and Machine Learning Studio modules.

designing-experiments-with-neural-networks

This is the repository for the project of my Master Thesis at ETH Zürich

edm-craters

This repository will hold the code for the EDM computer vision crater recognition software

evolutionary-llm-optimization

The idea essentially is utilizing LLMs to navigate the search space of optimization problems and applying an evolutionary algorithm to find the solution.

game-control-with-multimodal-llms

The idea of this project is to test the capabilities of multi-modal LLMs to control simple games.

gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

problems-of-physics-and-math

Hello! We can use this repository for uploading codes and material for the problems.

A simple version of the Snake game that generates randomly the apples by measuring the state of simulated qubtis. It uses the Python library Pygame and the Quantum Development Kit to combine Q# and Python.