cmarcond
Cesar Marcondes is Professor in the Computer Science Division at Aeronautics Institute of Technology (ITA)
@secdeviasBrazil
Pinned Repositories
atpg
Automatic Test Packet Generation
bbr
cfncluster
cfncluster is a framework that deploys and maintains HPC clusters on AWS.
computer-science-and-engineering
:mortar_board: Path to a free self-taught graduation in Computer Science
coname
CursoPenTest
curso de pentesting
czechbankanalysis
flask-study
Flask Project to study
freebsd_netfpga
FreeBSD NetFPGA driver
hacker-scripts
Based on a true story
cmarcond's Repositories
cmarcond/atpg
Automatic Test Packet Generation
cmarcond/bbr
cmarcond/cfncluster
cfncluster is a framework that deploys and maintains HPC clusters on AWS.
cmarcond/computer-science-and-engineering
:mortar_board: Path to a free self-taught graduation in Computer Science
cmarcond/coname
cmarcond/CursoPenTest
curso de pentesting
cmarcond/czechbankanalysis
cmarcond/flask-study
Flask Project to study
cmarcond/freebsd_netfpga
FreeBSD NetFPGA driver
cmarcond/hacker-scripts
Based on a true story
cmarcond/hidden-tear
an open source ransomware-like file crypter kit
cmarcond/jupyterhub-deploy-teaching
Reference deployment of JupyterHub and nbgrader on a single server
cmarcond/laredo-t1
cmarcond/reflexion-human-eval
cmarcond/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
cmarcond/tusSAT
A SAT solver implementation in VHDL, team tussle
cmarcond/tutorial-netfpga
cmarcond/WebGoat
WebGoat 8.0
cmarcond/WebGoat-1
WebGoat java v7.0.1