Name: Jonas F. Oliveira
Type: User
Company: Brazilian National Institute for Space Research
Bio: Applied Mathematician, Ph.D Candidate in Applied Computing. Interested in Complex Networks, Numerical Simulations, Operations Research and AI.
Location: São José dos Campos
Blog: https://orcid.org/0000-0002-6269-9721
Jonas F. Oliveira's Projects
A Compiler Writing Journey
A curated list of data mining papers about fraud detection.
A collection of important graph embedding, classification and representation learning papers with implementations.
Brain models implementation with BrainPy
Cheatsheet for Data Science and Web Development
A repository of code from my Complete Python Course on Udemy.
Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techniques for analyzing, modelling and understanding the behaviour of cells and circuits in the brain.
Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
My solutions to the UZH module "Computational Science 1" (QGD411) by Dr. P. Saha
A repository of codes for computational physics in Python.
This repository is associated with the blog post on "Data Generators with Keras and Tensorflow on Google Colab"
Integration of delayed differential equation with Runge-Kutta 4 method
Examples to start working in deep learning (DL), a subfield of machine learning (ML).
An EEG Simmulator for Computational NeuroScience
This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).
A fractal dimension calculator using Python, scikit-learn, etc.
Estimating the fractal dimension of an image using the box counting approach
We are hard pressed to find a concrete implementation of both Benoit Mandelbrot's "A Multifractal Model of Asset Returns" and Edgar E. Peters' "Fractal Market Analysis" so, with apologies to the Authors, we attempt to fill this vacancy.
Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks". This paper is currently under review.
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
GPU RKF45 (Runge–Kutta–Fehlberg) ODE solver written in pycuda/python3