Name: Jonas Mendonça Targino
Type: User
Company: University of são Paulo
Bio: Data Science | PhD Student in Artificial Intelligence
Location: Av. Prof. Luciano Gualberto, 380 - Butantã, São Paulo - SP, 05508-010
Blog: https://www.linkedin.com/in/jonasmendoncatargino/?originalSubdomain=br
Jonas Mendonça Targino's Projects
Este repositório contém arquivos utilizados na disciplina de aprendizado por reforço da Professora Anna Reali
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
Data Science Tutorials
Code generation framework for automated finite difference computation
Python toolkit for modeling and inversion in geophysics. DEPRECATED in favor of our newer libraries (see www.fatiando.org)
Deep-learning inversion: A next-generation seismic velocity model building method
Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"
This folder contains scripts to generate shots with devito
Some of my simple neural networks
Hopfield networks in TensorFlow
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
Keras implementations of Generative Adversarial Networks.
:lock: Files of my dissertation :fire:
Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.
Latex code for making neural networks diagrams
Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
Read and write SEGY formatted files using Matlab/Octave
Deep Learning for Seismic Imaging and Interpretation
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
Instalação automáGica do zsh, powerline-fonts e oh-my-zsh com tema Agnoster configurado.