dadler6 Goto Github PK

ann

Self-implementation of a feed-forward artificial neural network

australia_images

Images from Australia

coding-interview-university

A complete computer science study plan to become a software engineer.

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

denovo_assembly_for_metagenomes

Final project for the Fall 2015 Computational Genomics (600.439) class.

e_merge

Project for MedHacks 2015. Built a small web application to send basic patient information from an ambulance to an ER.

github-lms

An open-source LMS which uses Github for authentication and content management

google-research

Google Research

googletest

Google Test

hate-speech-and-offensive-language

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

info5610_studentlife

StudentLife data use for INFO 5610 lecture.

kaggle_titanic

Repository for the Kaggle Titanic competition.

mh_twitter

Playground for looking at mental health through Twitter datasets.

mta_delays

Building out small app for fun that helps to track whether a train might be late.

mtapi

JSON proxy server for the MTA's realtime New York City subway feed

naivebayesclassifier

Implementation in Python of a Naive Bayes Classifier.

nlp_maxent

nyc_taxi

NYC taxi kaggle competition.

passivedatakit-django

Django app supporting data collected by the Passive Data Kit libraries.

personalizedmultitasklearning

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

protein_interaction_networks_alg

Repository for a MATLAB algorithm to find the most likely pathway in a Protein-Protein Interaction (PPI) Network. This was my final project for the Fall 2015 Network Models (550.463) class.

python-api-vulnerable

qual-code-visualizer

reliability_depression_ml

Code to analyze reliability in AI-mediated depression risk prediction systems.

rf

Self-implementation of a random forest.

survey_mental_health

tensor_fun

Different tutorials I've completed to learn how to utilized Tensor Flow. I'm hoping this exploratory fun becomes something more interesting in the future.

tensorflow

Computation using data flow graphs for scalable machine learning

ticc