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Tools for JAX.

Project description

This repository implements a variety of tools for the differential programming library JAX.

Major components

Tjax’s major components are:

  • A dataclass decorator dataclasss that facilitates defining JAX trees, and has a MyPy plugin. (See dataclass and mypy_plugin.)

  • A fixed point finding library heavily based on fax. Our library (fixed_point):

    • supports stochastic iterated functions,

    • uses dataclasses instead of closures to avoid leaking JAX tracers, and

    • supports higher-order differentiation.

Minor components

Tjax also includes:

  • An object-oriented wrapper on top of optax. (See gradient.)

  • A pretty printer print_generic for aggregate and vector types, including dataclasses. (See display.)

  • Versions of custom_vjp and custom_jvp that support being used on methods. (See shims.)

  • Tools for working with cotangents. (See cotangent_tools.)

  • A random number generator class Generator. (See generator.)

  • JAX tree registration for NetworkX graph types. (See graph.)

  • Leaky integration leaky_integrate and Ornstein-Uhlenbeck process iteration diffused_leaky_integrate. (See leaky_integral.)

  • An improved version of jax.tree_util.Partial. (See partial.)

  • A Matplotlib trajectory plotter PlottableTrajectory. (See plottable_trajectory.)

  • A testing function assert_tree_allclose that automatically produces testing code. And, a related function tree_allclose. (See testing.)

  • Basic tools like divide_where. (See tools.)

Also, see the documentation.

Contribution guidelines

  • Conventions: PEP8.

  • How to run tests: pytest .

  • How to clean the source:

    • isort tjax

    • pylint tjax

    • mypy tjax

    • flake8 tjax

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