Dan Adler's repositories
NaiveBayesClassifier
Implementation in Python of a Naive Bayes Classifier.
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.
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
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.
RF
Self-implementation of a random forest.
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
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).
reliability_depression_ml
Code to analyze reliability in AI-mediated depression risk prediction systems.
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