Found 59 packages
Data Science is a platform for data scientists to build, train, and manage machine learning models on Oracle Cloud Infrastructure, using Python and open source machine learning libraries. Teams of data scientists can organize their work and access data and computing resources in this collaborative environment.
Package Description
Excel IO Extensions for the FsSpreadsheet Datamodel
Fable compliant Spreadsheet creation and manipulation in FSharp
Provides two different classes for analyzing the entropy of any given data. One class is suited for best performance with byte-sized content, the other for arbitrary bit-sized content.
QuantApp is an open-source .NET library developed and is curated by QuantApp Limited. It is designed to facilitate the development and management of systematic investment strategies within an institutional environment. The library follows a modular architecture enabling multiple developers to work efficiently and in parallel in order to achieve a common and unified role.
A library to productionize R random forests
Open source bioinformatics and computational biology toolbox written in F#.
FSharp wrapper for Open XML SDK, allowing Excel File reading and manipulation
ISA compliant experimental metadata toolkit in F#. This project is meant as an easy means to open, manipulate and save ISA (Investigation,Study,Assay) metadata files in the dotnet environment.
ARC helper functions for filesystem management.
ARC helper functions for Common workflow language.
ARC helper functions for contracts management.
Library for management of Annotated Research Contexts (ARCs) using an in-memory representation and runtime agnostic contract systems.
CSV IO Extensions for the FsSpreadsheet Datamodel
A .NET Interactive Kernel Extension for displaying the FsSpreadsheet datamodel.