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abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

cs-7641-assignment-1

(cleaned) code for OMSCS CS 7641 Assignment 1

cs-7641-assignment-2

(cleaned) code for OMSCS CS 7641 Assignment 2

cs-7641-assignment-3

cs-7641-assignment-4

(cleaned) code for OMSCS CS 7641 Assignment 4

cs-7641-assignments

CS 7641 - All the code

dostackbufferoverflowgood

equinehoroscope

Fortune-telling for racehorses

ftc_app

FTC Android Studio project to create FTC Robot Controller app.

hapi-fhir

HAPI FHIR - Java API for HL7 FHIR Clients and Servers

hip-mdp-public

Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning

machine-learning-notes

In this repository, I will publish my notes for GaTech's Machine Learning course CS7621.

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

peda

PEDA - Python Exploit Development Assistance for GDB

smart-on-fhir-tutorial

SMART on FHIR developer tutorial

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.

tensorflow

Computation using data flow graphs for scalable machine learning