gabrielserrao

Model Context Protocol (MCP) server for AI-powered reservoir engineering calculations. Integrates pyResToolbox with Claude AI for PVT analysis, well performance, simulation support, and more. 47 production-ready tools using industry-standard correlations.

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A nine-exercise training course teaching reservoir and petroleum engineers how to write precise prompts for Claude Code so it reliably handles real engineering tasks like decline curve analysis and PVT calculations.

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U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow

Overview and tutorial of the LangChain Library

Claude Code skill that turns 'make me a chart' into a Tufte-compliant chart. Distilled from Edward Tufte's three foundational books.

Use Garry Tan's exact Claude Code setup: 6 opinionated tools that serve as CEO, Eng Manager, Release Manager and QA Engineer

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Deploy Jupyter Notebooks in this simple Docker container directly to Railway.

autonomous ai agents in python for trading

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A self-organizing file system with llama 3

boilerplate for reproducible and transparent science

Cookiecutter template for a Python package.

Boilerplate to build Nextjs AI projects

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

Coursera-Fundamentals of Reinforcement Learning Specialization.

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Drag & drop UI to build your customized LLM flow

Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncertainty quantification

Learning in infinite dimension with neural operators.

A curated list of resources dedicated to open source GitHub repositories related to ChatGPT

Material Kit Flask - Generated Seed Project (Open-Source) | AppSeed

🚀🎉📚 Boilerplate and Starter for Next.js 13+, Tailwind CSS 3.2 and TypeScript ⚡️ Made with developer experience first: Next.js + TypeScript + ESLint + Prettier + Husky + Lint-Staged + Jest + Testing Library + Cypress + Commitlint + VSCode + Netlify + PostCSS + Tailwind CSS

PyTorch implementations of Generative Adversarial Networks.

GANs Notebooks

A collection of resources and papers on Diffusion Models

Use of VAE to compress data for ES-MDA

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Karstnet is a python3 project providing tools for the statistical analysis of karstic networks.

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A package for the sparse identification of nonlinear dynamical systems from data

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Python API for working with RESQML models

Deep-Learning-ai coursera course

Tutorial on history matching with ensembles

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first test

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