mitliagkas
Associate professor, Computer Science, University of Montréal - Core faculty at Mila - Staff research scientist, Google Brain - Canada CIFAR AI Chair
@mila-iqia, University of MontréalCanada
Pinned Repositories
frogwild
Approximation Pagerank algorithm for GraphLab. This repository contains all the GraphLab's code where the "synchronous_engine.hpp" file is updated to allows selective synchronization of replicas and vertex data. This updated version of the synchronous engine is exploited by the approximation PageRank application included in the "apps/rw_pagerank". The approximation algorithm implemented in the application uses random walks.
graphs
An assortment of graph tools and algorithms
mitliagkas.github.io
Ioannis' personal webpage
pyliakmon
A python library (currently in alpha) for our streaming PCA work.
spannogram
A python implementation of spectral methods for specific bilinear optimization problems.
sparktutorial
theoretical-principles-for-deep-learning-UdeM-Mila-notes
Scribed notes for the [IFT6085] Deep Learning Theory course at UdeM
mitliagkas's Repositories
mitliagkas/mitliagkas.github.io
Ioannis' personal webpage
mitliagkas/theoretical-principles-for-deep-learning-UdeM-Mila-notes
Scribed notes for the [IFT6085] Deep Learning Theory course at UdeM
mitliagkas/spannogram
A python implementation of spectral methods for specific bilinear optimization problems.
mitliagkas/pyliakmon
A python library (currently in alpha) for our streaming PCA work.
mitliagkas/graphs
An assortment of graph tools and algorithms
mitliagkas/sparktutorial
mitliagkas/dshs
Analysis of Texas DSHS public data
mitliagkas/graph-python
Attempts to graph algorithms in python
mitliagkas/rednodes