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bitonic-sort

An example implementation of a parallel bitonic sort algorithm using an OpenMPI CPU cluster.

book-deep-learning-applications-with-applications-using-python

Chapterwise code available in the book

concretedropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

dijkstra

Sequential and parallel Dijkstar Implementaiton using OMP and OpenMPI

distributedtfidf

A distributed TFIDF implementation using OpenMPI

dtm

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

dynamic-nmf

Dynamic Topic Modeling via Non-negative Matrix Factorization

fastdropout

code for fast dropout

graphcoloring

Parallel Graph Coloring using Charm++

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

implicit-mf

Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.

keras

Deep Learning for humans

miller-rabin-mpi

Distributed implementation of Miller-Rabin test for prime numbers

ml-cookbook

Machine Learning/Deep Learning templates

neural_collaborative_filtering

Neural Collaborative Filtering

sieve-of-eratosthenes-with-mpi

MPI Parallel program in C for The Sieve of Eratosthenes - project for course Parallel and Concurrent Programming

svm-python

Implemented SVM in Python. In particular, the SMO algorithm is implemented.

svm-w-smo

Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.

svmpy

Basic soft-margin kernel SVM implementation in Python

tiepvupsu.github.io

variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

vb