Daft download for Windows

This is the Windows app named Daft whose latest release can be downloaded as v0.5.3sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

 
 

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- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS:


Daft


DESCRIPTION:

Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python Dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. Underneath its Python API, Daft is built in blazing fast Rust code. Rust powers Daft’s vectorized execution and async I/O, allowing Daft to outperform frameworks such as Spark.



Features

  • Integrate with ML/AI libraries
  • Go Distributed and Out-of-Core
  • Execute Complex Operations
  • Native Support for Cloud Storage
  • Deliver Unmatched Speed
  • Documentation available


Programming Language

Rust


Categories

Machine Learning

This is an application that can also be fetched from https://sourceforge.net/projects/daft.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



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