Displaying 1 to 13 from 13 results

nextflow - A DSL for data-driven computational pipelines

  •    Groovy

With the rise of big data, techniques to analyse and run experiments on large datasets are increasingly necessary. Parallelization and distributed computing are the best ways to tackle this kind of problem, but the tools commonly available to the bioinformatics community traditionally lack good support for these techniques, or provide a model that fits badly with the specific requirements in the bioinformatics domain and, most of the time, require the knowledge of complex tools or low-level APIs.

open-solution-home-credit - Open solution to the Home Credit Default Risk challenge :house_with_garden:

  •    Python

This is an open solution to the Home Credit Default Risk challenge 🏡. In this open source solution you will find references to the neptune.ml. It is free platform for community Users, which we use daily to keep track of our experiments. Please note that using neptune.ml is not necessary to proceed with this solution. You may run it as plain Python script 🐍.

ORAC-DR - The ORAC-DR astronomy data reduction pipeline

  •    Perl

You can use it to reduce astronomical data from the James Clerk Maxwell Telescope, the United Kingdom Infrared Telescope, the Anglo-Australian Telescope and the Las Cumbres Observatory. and then source the src/etc/login and src/etc/cshrc (or profile) scripts.

Flo - Lightweight library for composing chain of responsibility pipelines

  •    CSharp

Flo is a lightweight library for composing chain of responsibility pipelines. The inspiration for this project came from the need to break down a large codebase of tightly coupled behavior into smaller units for better extensibility and testability. Flo works in a similar way to middleware in ASP.NET Core with a focus on immutability and support for handlers that output a different type i.e. Func<Tin, Func<TOut>.




open-solution-googleai-object-detection - Open solution to the Google AI Object Detection Challenge :maple_leaf:

  •    Python

In this open source solution you will find references to the neptune.ml. It is free platform for community Users, which we use daily to keep track of our experiments. Please note that using neptune.ml is not necessary to proceed with this solution. You may run it as plain Python script 🐍. This competition is special, because it used Open Images Dataset V4, which is quite large: >1.8M images and >0.5TB 😲 To make it more approachable, we are hosting entire dataset in the neptune's public directory 😎. You can use this dataset in neptune.ml with no additional setup 👍.

open-solution-salt-identification - Open solution to the TGS Salt Identification Challenge https://www

  •    Jupyter

This is an open solution to the TGS Salt Identification Challenge. In this open source solution you will find references to the neptune.ml. It is free platform for community Users, which we use daily to keep track of our experiments. Please note that using neptune.ml is not necessary to proceed with this solution. You may run it as plain Python script 🐍.

open-solution-talking-data - Open solution to the TalkingData AdTracking Fraud Detection Challenge

  •    Jupyter

This is an open solution to the TalkingData Challenge. Deliver open source, ready-to-use and extendable solution to this competition. This solution should - by itself - establish solid benchmark, as well as provide good base for your custom ideas and experiments.


open-solution-value-prediction - Open solution to the Santander Value Prediction Challenge :tropical_fish:

  •    Python

In this open source solution you will find references to the neptune.ml. It is free platform for community Users, which we use daily to keep track of our experiments. Please note that using neptune.ml is not necessary to proceed with this solution. You may run it as plain Python script 😉. You can jump start your participation in the competition by using our starter pack. Installation instruction below will guide you through the setup.

strit - Package strit introduces a new type of string iterator, along with a number of iterator constructors, wrappers and combinators

  •    Go

Package strit (STRing ITerator) assists in development of string processing pipelines by providing a simple iteration model that allows for easy composition of processing stages. The project is in a beta state. Tested on Linux Mint 18 (based on Ubuntu 16.04). Go version 1.8. Should also work on other platforms supported by Go runtime, but currently this is not tested.

faas-flow - Function Composition for Openfaas

  •    Go

faas-flow allows you to realize OpenFaaS function composition with ease. By defining a simple pipeline, you can orchestrate multiple functions without having to worry about internals.