Displaying 1 to 20 from 27 results

express-gateway - A microservices API Gateway built on top of ExpressJS

  •    Javascript

Express Gateway is an API Gateway that sits at the heart of any microservices architecture, regardless of what language or platform you're using. Express Gateway secures your microservices and exposes them through APIs using Node.js, ExpressJS and Express middleware. Developing microservices, orchestrating and managing them now can be done insanely fast all on one seamless platform without having to introduce additional infrastructure. Express Gateway is commerically supported LunchBadger. For more information about support plans please contact info@express-gateway.io.

TransmogrifAI - TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

  •    Scala

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library written in Scala that runs on top of Spark. It was developed with a focus on accelerating machine learning developer productivity through machine learning automation, and an API that enforces compile-time type-safety, modularity, and reuse. Through automation, it achieves accuracies close to hand-tuned models with almost 100x reduction in time. Skip to Quick Start and Documentation.

azure-pipelines-tasks - Tasks for Azure Pipelines

  •    TypeScript

Tasks for the Azure Pipelines build system

rain - Framework for large distributed pipelines

  •    Rust

Rain is an open-source distributed computational framework for processing of large-scale task-based pipelines. Rain aims to lower the entry barrier to the world of distributed computing. Our intention is to provide a light yet robust distributed framework that features an intuitive Python API, straightforward installation and deployment with insightful monitoring on top.




pipelines - a language for scripting data flow

  •    Nim

Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline, while providing access to thousands of active libraries for machine learning, data analysis and processing. Skip to Getting Started to install the Pipeline compiler. Running the Pipeline document would safely execute each component of the pipeline in parallel and output the expected result.

julia-workshop - "Integrating Julia in real-world, distributed pipelines" for JuliaCon 2017

  •    Julia

This workshop focuses on building a production scale machine learning pipeline with Julia, Docker, Kubernetes, and Pachyderm. In particular, this pipeline trains and utilizes a model that predicts the species of iris flowers, based on measurements of those flowers.Finally, we provide some Resources for you for further exploration.

xmlcalabash1 - XML Calabash, an XProc processor

  •    Java

This project contains the "1.1" version of XML Calabash. XML Calabash depends on Saxon and the sources vary a bit depending on the version of Saxon that you want to use.

memefab - Fabricate Fabulous Memes

  •    Ruby

MemeFab gives you the power to caption and share images to enhance the glory of the internet.


heroku-pipelines - Heroku Pipelines Plugin for Heroku Toolbelt

  •    Javascript

A Heroku CLI plugin for continuous delivery on Heroku. This plugin is used to set up a collection of apps sharing a common codebase where the latest slug of one app can be promoted to the app(s) in the following stage. The promotion only copies the upstream build artifact and leaves the downstream app's config vars, add-ons, and Git repo untouched.

mleap - R Interface to MLeap

  •    R

mleap is a sparklyr extension that provides an interface to MLeap, which allows us to take Spark pipelines to production. We can now export Spark ML pipelines from sparklyr.

nbtransom - Machines and people collaborating together through Jupyter notebooks.

  •    Python

This is a Python 3 library to read/write cells programmatically in Jupyter notebooks which anticipates upcoming collaborative features in Jupyter. Then launch the test.ipynb notebook and from the Cells menu select Run All to view results.

Hagar - Fast, flexible, and version-tolerant serializer for .NET

  •    CSharp

Hagar is a new serialization library which does supports these features, is fast & compact, supports schema evolution, and requires minimal input from the developer. If a type has base types, the fields of the base types are serialized before the subtype fields. Between the base type fields and its sub type is an EndBaseFields tag. This allows base types and sub types to have overlapping field ids without ambiguity. Therefore object encoding follows this pattern: [StartTagDelimited] [Base Fields]* [EndBaseFields] [Sub Type fields]* [EndTagDelimited].

hydro-serving - ML FaaS - Machine Learning Serving cluster

  •    Scala

ML Lambda is an open source model management cluster for deploying, serving and monitoring machine learning models and ad-hoc algorithms. It enables you to get your models up and running in an instant, on just about any infrastructure and using any of the available machine learning toolkits. It lets you monitor your models’ performance, analyse their inputs (for example, determine whether there is recently an increased number of outliers or not), observe models’ inference on given data and so on. Please, see our getting started guide and documentation.

django-slack-oauth - Handles OAuth and stores slack token

  •    Python

A lightweight module for integrating your Django application with Slack. To use Slack OAuth in your Django app, you'll need your SLACK_CLIENT_ID and SLACK_CLIENT_SECRET which can be found when you Create a New Slack Application.

tibanna - Tibanna is the gas mined in Cloud City that makes Hyperdrives zoom

  •    Python

Tibanna is a metadata-aware workflow engine that deploys and monitors CWL/Docker-based pipelines to the AWS cloud. Tibanna is a main workflow management system used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center).

umbrella - ⛱ Mono-repository for ~50 thi.ng TypeScript/ES6 projects

  •    TypeScript

Mono-repository for thi.ng TypeScript/ES6 projects, a collection of largely data transformation oriented packages and building blocks for functional programming, reactive applications, dataflow graphs / pipelines, components (not just UI related), all with a keen eye on simplicity & minimalism without sacrificing flexibility. This project is NOT a framework, provides no one-size-fits-all approach and instead encourages a mix & match philosophy for various key aspects of (web) application design. Most customization points only expect certain interfaces rather than concrete implementations.

builder-maven - Builder image used in Jenkins-X pipelines to build maven based projects

  •    Shell

This is a builder image that's used in Jenkins-X pipelines to build maven based projects. The idea of a builder image is it contains tools required to build an image so we don't have to include them in the final image.

opus - A framework for pluggable business logic components

  •    Elixir

A framework for pluggable business logic components. The core aspect of this library is defining pipeline modules. As in the example above you need to add use Opus.Pipeline to turn a module into a pipeline. A pipeline module is a composition of stages executed in sequence.