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sourceilsusa's Projects
ai
artificial intelligence on python!
analytics.usa.gov
The US federal government's web traffic.
api-all-the-x
Resources and Materials for the /Developer Program
armada
Complete solution for development, deployment, configuration and discovery of microservices.
awesome-threat-intelligence
A curated list of Awesome Threat Intelligence resources
azure-iot-remote-monitoring
Azure IoT Remote Monitoring preconfigured solution
azure-storage-net
Microsoft Azure Storage Libraries for .NET
azure-storage-python
Microsoft Azure Storage Library for Python
azure-tdsp-utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
azureml-r-quick-start
Code and data for the Quick Start Guide to R in Azure Machine Learning Studio.
bean-seed
DevOps Microservices NodeJS Starter Project
cartodb
Location Intelligence & Data Visualization tool
code.mil
An experiment in open source
daishi.amqp
Microservices SDK for .NET applications
deep-framework
Full-stack JavaScript Framework for Cloud-Native Web Applications using Microservices Architecture
ecs-refarch-cloudformation
A reference architecture for deploying containerized microservices with Amazon ECS and AWS CloudFormation (YAML)
govready
Toolkit for getting open source apps ready for secure, approved government use
hook.io
Open-Source Microservice Hosting Platform
intelligence
Machine learning library written in javascript for node
leveros
Serverless + Microservices = ♥
machine-learning-data-mining
Machine Learning & Data Mining
microservices-iot-azure
Microservices, IoT and Azure Reference Implementation
microservices-python-docker-zeromq
microservices-python-docker-zeromq
nameko
Python framework for building microservices
neural-networks
Artificial Neural Networks / Python
openapi-specification
The OpenAPI Specification Repository
pclstorage
PCL Storage - Portable Storage APIs
policyfeed
Government news aggregator
qbsolv
Qbsolv,a decomposing solver, finds a minimum value of a large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces solved either via a D-Wave system or a classical tabu solver. (Note that qbsolv by default uses its internal classical solver. Access to a D-Wave system must be arranged separately.)
quantum-fog
Python tools for analyzing both classical and quantum Bayesian Networks
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