Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

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  • License: BSD License (BSD)
  • Author: aesara-devs
  • Tags aesara, math, numerical, symbolic, blas, numpy, gpu, autodiff, differentiation
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Project description

Aesara is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy. Aesara features:

  • tight integration with NumPy: a similar interface to NumPy’s. numpy.ndarrays are also used internally in Aesara-compiled functions.

  • transparent use of a GPU: perform data-intensive computations up to 140x faster than on a CPU (support for float32 only).

  • efficient symbolic differentiation: Aesara can compute derivatives for functions of one or many inputs.

  • speed and stability optimizations: avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.

  • dynamic C code generation: evaluate expressions faster.

  • extensive unit-testing and self-verification: includes tools for detecting and diagnosing bugs and/or potential problems.

Project details

Verified details

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Avatar for brandonwillard from gravatar.com brandonwillard Avatar for dgerlanc from gravatar.com dgerlanc Avatar for rlouf from gravatar.com rlouf

Unverified details

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Project links
Meta
  • License: BSD License (BSD)
  • Author: aesara-devs
  • Tags aesara, math, numerical, symbolic, blas, numpy, gpu, autodiff, differentiation
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2.9.4

2.9.3

2.9.2

2.9.1

2.9.0

2.8.12

2.8.11

2.8.10

2.8.9

2.8.8

2.8.7

2.8.6

2.8.5

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2.8.3

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2.7.10

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2.7.6

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2.3.7

2.3.6

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2.3.1

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2.2.6

This version

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.3

2.1.2

2.1.1

2.1.0

2.0.12

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2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

0.0.1

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