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...
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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...
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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...
More information
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...
More information
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...
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Dotnet interface for Dash - the most downloaded framework for building ML and data science web apps - written in F#. This package contains the core implementation of dash for .NET such as callbacks, html and core components.
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.
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.