daniel-acuna Goto Github PK

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

applied_deep_learning

capreolus

A toolkit for end-to-end neural ad hoc retrieval

chunk_inference

Algorithm for inferring chunks in discrete sequence production tasks using response times and errors

chunking_strength

Code for estimating chunking strength using HMM algorithm published in J. of Neurophysiology

csci7000_ai4science

daniel-acuna.github.io

:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

data_science_programs

Analysis of data science programs in the US

datascience_learning

Jupyter notebook demos for fundamental data science concepts

datasciencenotebook

deep-learning-a-visual-approach

All of the figures and notebooks for my deep learning book, for free!

deepbedmap

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.

dl_interest_group

deep learning material from my group

dotfiles

gan_game

git-workflows

hackathon_syracuse

Civic data challenge

ist718

Python environment for IST 718

ist718_notes

katacoda-scenarios

Katacoda Scenarios

pyspark_pipes

Helper functions for building complex Spark ML pipelines

python_data_science_intro

Several Python notebooks for teaching the basics of the language to data scientists

reviewer_assignment

Reviewer assignment and scoring system based on topic models

scalable_provenance

Code developed for the 2018 TIP paper "Image Provenance at Scale"

scopus_helper

Helper functions that make accessing Elsevier's API easier from Python.

sloan_grant

sos-cd

structure_learning_ploscb_2010

Code for paper Structure Learning in Human Sequential Decision-Making by Acuna and Schrater, 2010