Project: theano-pymc

Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

Project Details

Latest version
1.1.2
Home Page
http://deeplearning.net/software/theano/
PyPI Page
https://pypi.org/project/theano-pymc/

Project Popularity

PageRank
0.0015818191970780324
Number of downloads
506346

Theano 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_. Theano features:

  • tight integration with NumPy: a similar interface to NumPy's. numpy.ndarrays are also used internally in Theano-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: Theano 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.

Theano has been powering large-scale computationally intensive scientific research since 2007, but it is also approachable enough to be used in the classroom (IFT6266 at the University of Montreal).

.. _NumPy: http://numpy.scipy.org/