Skip to content

srambhatla/NOODL

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 

Repository files navigation

NOODL

Neurally plausible alternating Optimization-based Online Dictionary Learning

View Paper

MATLAB

Use the main.m file as your gateway to all MATLAB-based implementations. It provides the data generation as well as the use-cases of different implementations (detailed below).

Standalone NOODL

For implementation of NOODL, the following versions are available.

Vanilla NOODL

Non-distributed variant of NOODL is provided in NOODL.m

Distributed

Implementation of NOODL using MATLAB's spmd is provided in NOODL_dist.m.

Comparing NOODL with Related Techniques

These variants can be used to compare the performance of NOODL with the techniques described in Arora'15 and Mairal. Analogous to the Standalone implementations, we provide the following two variants.

Vanilla

The non-distributed implementation can be accessed via compare_algos_and_NOODL_dist.m

Distributed

The distributed implementation via MATLAB's spmd in provided in compare_algos_and_NOODL.m.

Neural Implementation via TensorFlow

In addition to the MATLAB implementations, we also provide an implementation of NOODL via TensorFlow to showcase the highly distributed implementation using neural architecture, as shown in the paper. This is presented in noodl_via_tensorflow.py.

Copyright & License Notice

NOODL is copyrighted by the Regents of the University of Minnesota. It can be freely used for educational and research purposes by non-profit institutions and US government agencies only. Other organizations are allowed to use NOODL only for evaluation purposes, and any further uses will require prior approval. The software may not be sold or redistributed without prior approval. One may make copies of the software for their use provided that the copies, are not sold or distributed, are used under the same terms and conditions. As unestablished research software, this code is provided on an "as is'' basis without warranty of any kind, either expressed or implied. The downloading, or executing any part of this software constitutes an implicit agreement to these terms. These terms and conditions are subject to change at any time without prior notice.

The software is also available via a standard negotiated license agreement. Contact umotc@umn.edu for specific details.

About

Neurally plausible alternating Optimization-based Online Dictionary Learning

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published