57 packages tagged with “datascience”
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.
Excel IO Extensions for the FsSpreadsheet Datamodel
Fable compliant Spreadsheet creation and manipulation in FSharp
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.
CSV IO Extensions for the FsSpreadsheet Datamodel
Library for management of Annotated Research Contexts (ARCs) using an in-memory representation and runtime agnostic contract systems.
A .NET Interactive Kernel Extension for displaying the FsSpreadsheet datamodel.
BioFSharp.IO contains read/write functions for a diverse set of biological file formats such as Fasta, FastQ, GeneBank or GFF, as well as helper function for searching on or transforming the input data
Excel File IO methods for ISA compliant experimental metadata toolkit in F#. The underlying datamodel can be directly read from and written to ISA-Json and ISA-Excel (ISATab format) files.
A data model of the ARC concept via it's RO Crate profile
A generic data model for representing controlled vocabularies
Fable compliant release for the ISA compliant experimental metadata toolkit in F#. Additionally to the compiled library, it is shipped with the uncompiled code.
ARC and 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.
Functional graph-library written in F#
F# library for tokenization of ARC metadata into controlled vocabulary tokens
Excel IO Extensions for the FsSpreadsheet Datamodel in js environments using exceljs.
ARC and ISA json compliant parser for 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 isa-json format.