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Henri van den Bulk's Projects

application-portfolio-auditor icon application-portfolio-auditor

Application Portfolio Auditor is a tool assessing cloud readiness, quality, and security of large sets of apps. It gathers and aggregates insights of multiple software analyzers.

bayesian-belief-networks icon bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

cloudauction icon cloudauction

An add-on package for CloudSim framework to model resource allocation for computational clouds.

cloudreports icon cloudreports

An extensible simulation tool for energy-aware cloud computing environments

cloudsim icon cloudsim

CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services

cost-model icon cost-model

Cross-cloud cost allocation models for workloads running on Kubernetes

csci-565-p1 icon csci-565-p1

CSCI 565: Distributed Computing Systems (Fall 2015) - Programming Project 1: Developing a Simple Distributed Application

cse240 icon cse240

cse240 prefetcher 2014 sprint UCSD

dccs icon dccs

Distributed Collaborative Compressive Sampling

docker-dapp icon docker-dapp

Create a DApp (Decentralized Application) with docker

gossip icon gossip

An Mavenized Apache V2 gossip implementation for Java

harbor icon harbor

An open source trusted cloud native registry project that stores, signs, and scans content.

machine-learning-in-the-financial-industry icon machine-learning-in-the-financial-industry

In recent years the use of Deep Neural Networks (DNN) has become more prevalent and significant research has been done in this area. DNNs have different architectures to solve different Machine Learning (ML) problems. Breakthroughs in this field have been made due to the availability of data, and the ability to process a large amount of data. Datasets used in the financial industry leverage a wealth of time-series data. For each dataset classical statistical approaches have been used to interpret the data, or make predictions. These classical methods have not been able to address the multidimensionality of the data and had to rely on different approaches to correlate data. In this research, we compare a set of DNN architectures and their fit for use in the Financial Industry.

mcfly icon mcfly

A deep learning tool for time series classification

obp-api icon obp-api

An open source RESTful API platform for banks that supports Open Banking, XS2A and PSD2 through access to accounts, transactions, counterparties, payments, entitlements and metadata - plus a host of internal banking and management APIs.

spigo icon spigo

Simulate Protocol Interactions in Go

splunk-elasticsearch icon splunk-elasticsearch

A search command for Splunk which will allow you to search Elastic Search and display the results in the Splunk GUI

zipkin icon zipkin

Zipkin is a distributed tracing system

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