Pinned Repositories
adm
Fall 2018 MSUFCU Capstone Anomaly Detection Module
aws-javascript-developer-guide-v2
The open source version of the AWS SDK for JavaScript Developer Guide
cedarmapper
CEDAR project : Topological Data Analysis Tool using R and Shiny
cse491H
Michigan State University CSE 491 Honors Project
image-topology
Matlab scripts and functions for topological analysis of image data
niceripser
Format ripser output into a different csv file for each dimension
react-blog-tutorial
Tutorial for tic-tac-toe in react.
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.
issues
WiX Toolset Issues Tracker
p-soma's Repositories
p-soma/adm
Fall 2018 MSUFCU Capstone Anomaly Detection Module
p-soma/aws-javascript-developer-guide-v2
The open source version of the AWS SDK for JavaScript Developer Guide
p-soma/cedarmapper
CEDAR project : Topological Data Analysis Tool using R and Shiny
p-soma/cse491H
Michigan State University CSE 491 Honors Project
p-soma/image-topology
Matlab scripts and functions for topological analysis of image data
p-soma/niceripser
Format ripser output into a different csv file for each dimension
p-soma/react-blog-tutorial
Tutorial for tic-tac-toe in react.
p-soma/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.