Duke PhD; Princeton '16 *17
Repositories
GhassenJ/autograd
Efficiently computes derivatives of numpy code.
GhassenJ/isitdeansdate.com
Is it NIPS due Date?
GhassenJ/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
GhassenJ/Duke.StatMl
GhassenJ/tensorflow
Computation using data flow graphs for scalable machine learning
GhassenJ/LVAE
Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
GhassenJ/svae
code for Structured Variational Autoencoders
GhassenJ/jaan.io
A Retina-ready Jekyll-powered blog with responsiveness, SEO, etc.; up at https://jaan.io
GhassenJ/terastructure
TeraStructure is a new algorithm to fit Bayesian models of genetic variation in human populations on tera-sample-sized data sets (10^12 observed genotypes, i.e., 1M individuals at 1M SNPs). This package provides a scalable, multi-threaded C++ implementation that can be run on a single computer.
GhassenJ/COS-513
GhassenJ/333
Princeton MarketPlace
GhassenJ/Similarity
Semi-Pseudocode for document similarity using external libraries. (Done in 2-4 hours in April 2014)
GhassenJ/Natural-Language-Calculator
GhassenJ/twitter_nlp
Twitter NLP Tools