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fastai download for Windows

Free download fastai Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named fastai whose latest release can be downloaded as v2.5.3.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named fastai with OnWorks for free.

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- 3. Upload this application in such filemanager.

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- 6. Download the application and install it.

- 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

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fastai


DESCRIPTION

fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns of many deep learning and data processing techniques in terms of decoupled abstractions. These abstractions can be expressed concisely and clearly by leveraging the dynamism of the underlying Python language and the flexibility of the PyTorch library. fastai is organized around two main design goals: to be approachable and rapidly productive, while also being deeply hackable and configurable. It is built on top of a hierarchy of lower-level APIs which provide composable building blocks.



Features

  • GPU-optimized computer vision library which can be extended in pure Python
  • An optimizer which refactors out the common functionality of modern optimizers into two basic pieces, allowing optimization algorithms to be implemented in 4–5 lines of code
  • A novel 2-way callback system that can access any part of the data, model, or optimizer and change it at any point during training
  • A new data block API
  • A new type dispatch system for Python along with a semantic type hierarchy for tensors
  • simplifies training fast and accurate neural nets using modern best practices


Programming Language

Python



This is an application that can also be fetched from https://sourceforge.net/projects/fastai.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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