This is the Windows app named Haiku whose latest release can be downloaded as Haiku0.0.10.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Haiku
DESCRIPTION
Haiku is a library built on top of JAX designed to provide simple, composable abstractions for machine learning research. Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX’s pure function transformations. Haiku is designed to make the common things we do such as managing model parameters and other model state simpler and similar in spirit to the Sonnet library that has been widely used across DeepMind. It preserves Sonnet’s module-based programming model for state management while retaining access to JAX’s function transformations. Haiku can be expected to compose with other libraries and work well with the rest of JAX. Similar to Sonnet modules, Haiku modules are Python objects that hold references to their own parameters, other modules, and methods that apply functions on user inputs.
Features
- JAX is a numerical computing library that combines NumPy
- Haiku provides two core tools: a module abstraction
- Haiku is a simple neural network library for JAX
- hk.Modules are Python objects that hold references to their own parameters
- Haiku has been tested by researchers at DeepMind at scale.
- Haiku is a library, not a framework
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/haiku.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
