Laboratory for Computation, Data, and Machine Learning

Login: lcdm-uiuc

Company: null

Location: null

email:

Blog:

Members

  1. Ben Congdon
  2. Fizza Mughal
  3. Matias Carrasco Kind
  4. Tyler Kim

Repositories

accy570-fa16
ACCY 570 Fall 2016 course repository
accy571-fa16
ACCY 571 Fall 2016 course repository
accy571-fa17
Repository for ACCY 571 (on campus) content for Fall 2017
accy575-sp18
null
Algorithms
null
Business-Analytics
null
cs199-fa17
CS199 Applied Cloud Computing at the University of Illinois
cs199-sp17
Applied Cloud Computing - University of Illinois, Spring 2017
docker
null
idsi-tr
Public Repository for iDSI technical reports
image-pz
New Image-based Pixel level Photometric Redshift Estimation
info490-fa15
INFO 490: Foundations of Data Science, offered in the Fall 2015 Semester at the University of Illinois
info490-fa16
INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois
info490-sp15
INFO 490 Spring 2015
info490-sp16
INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois
info490-sp17
Advanced Data Science, University of Illinois Spring 2017
iso_forest
Simple implementation of Isolation Forest
jupyterhub-lcdm
null
ml-finance
null
ML-SQL
The ML-SQL repository was created to explore and research a SQL-like language for Machine Learning.
Onboarding
Detailed instructions of onboarding process to the research group
Projects
List of current and open projects
Publications
Publications from the LCDM group.
sml
Standard Machine Learning language
somsphere
Self Organizing Maps in python and spherical coordinates
Sparse-Basis-C
null
SparsePz
Sparse Representation of Photometric Redshift PDFs
spring2015
null
summer2014
null
tbb
Tree Building Blocks
testing
course development test repo
Text-Analytics
null
Tools
null
UI-DataScience.github.io
Website for Data Science at the University of Illinois

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.