Daniel E. Acuna's Projects
Benchmarks of approximate nearest neighbor libraries in Python
A toolkit for end-to-end neural ad hoc retrieval
Algorithm for inferring chunks in discrete sequence production tasks using response times and errors
Code for estimating chunking strength using HMM algorithm published in J. of Neurophysiology
:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
Analysis of data science programs in the US
Jupyter notebook demos for fundamental data science concepts
All of the figures and notebooks for my deep learning book, for free!
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
deep learning material from my group
Civic data challenge
Python environment for IST 718
Katacoda Scenarios
Helper functions for building complex Spark ML pipelines
Several Python notebooks for teaching the basics of the language to data scientists
Reviewer assignment and scoring system based on topic models
Code developed for the 2018 TIP paper "Image Provenance at Scale"
Helper functions that make accessing Elsevier's API easier from Python.
Code for paper Structure Learning in Human Sequential Decision-Making by Acuna and Schrater, 2010