Prof. Josecley's Projects
Curated list for ML in FM
Escrita colaborativa de recursos educacionais abertos sobre cálculo numérico.
A versão brasileira da sequencia de Jupyter notebooks denominada "12 Passos para Navier-Stokes"
Characterizing possible failure modes in physics-informed neural networks.
Este repositório é destinado para a produção de material didático da disciplina de Progração I (CTEC0004), denominado Programação I: Algoritmos e Python
Code for "Learning data-driven discretizations for partial differential equations"
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Undergraduate Research Project
Computational Fluid Dynamics in JAX
Teaching and Learning with Jupyter
Examples of how to use machine learning algorithms in computational fluid dynamics.
Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning
Lecture material for machine learning applied to computational fluid mechanics
Este repositório é para a criação de material didático interativo da disciplina de Cálculo Numérico (PCT30038)
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Disciplina de Programação II - Curso de BI em Ciência e Tecnologia
Insight Data Science Project: Predicting Photovoltaic Solar Panel Generation Using Machine Learning
Códigos dos Vídeo que posto no Youtube do "Inteligência Mil Grau"
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.