thadikari
PhD graduate from University of Toronto. Researcher in Distributed Computing, Machine Learning, and Information Theory.
University of TorontoOttawa, ON
Pinned Repositories
asyncTimed
Files for JSAIT'21 publication "Asynchronous delayed optimization with time-varying minibatches," H. Al-Lawati, T. Adikari, S. C. Draper
anytime_minibatch
Tensorflow-based Anytime Mini-Batch implementation.
boundary-training
Efficient learning of neighbor representations for boundary trees and forests - CISS '19
consensus_optimization
Code for numerical results in the ICASSP 2020 paper "Decentralized optimization with non-identical sampling in presence of stragglers".
differentiable-boundary-trees
Reproducing results in “Differentiable Boundary Trees” (DBT) paper.
ldpc_decoders
Belief propagation with sparse matrices (scipy.sparse) in Python for LDPC codes. Includes NumPy implementation of message passing (min-sum and sum-product) and a few other decoders.
pdf-redact-python-gui
Python-based PDF redaction tool with GUI.
py_utils
Helper functions/common code used in other projects
thadikari.github.io
Web source
thadikari's Repositories
thadikari/ldpc_decoders
Belief propagation with sparse matrices (scipy.sparse) in Python for LDPC codes. Includes NumPy implementation of message passing (min-sum and sum-product) and a few other decoders.
thadikari/differentiable-boundary-trees
Reproducing results in “Differentiable Boundary Trees” (DBT) paper.
thadikari/pdf-redact-python-gui
Python-based PDF redaction tool with GUI.
thadikari/consensus_optimization
Code for numerical results in the ICASSP 2020 paper "Decentralized optimization with non-identical sampling in presence of stragglers".
thadikari/anytime_minibatch
Tensorflow-based Anytime Mini-Batch implementation.
thadikari/boundary-training
Efficient learning of neighbor representations for boundary trees and forests - CISS '19
thadikari/py_utils
Helper functions/common code used in other projects
thadikari/thadikari.github.io
Web source