Theano features: tight integration with NumPy:a similar interface to NumPy’s. Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones.

www.deeplearning.net/software/theano. 2016/05/09: New technical report on Theano: Theano: A Python framework for fast computation of mathematical expressions. In Theano, computations are expressed using a NumPy-esque syntax and compiled to run efficiently on either CPU or GPU architectures. Fork 2.5k. Most likely you would end up downloading lots of legacy Visual Studio versions and other stuff. numpy.ndarrays are also used internally in Theano-compiled functions. Installation of theano/pymc3 with python 3.6 for windows 10 I've had serious problems to find an installation that makes pymc3 work properly.

SciPy >= 0.14 < 0.17.1 Maintainer: demon@FreeBSD.org Port Added: 2015-03-06 09:48:09 Last Update: 2019-08-13 23:29:43 SVN Revision: 508882 Also Listed In: python License: BSD3CLAUSE Description: Theano is a Python … Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Compatibility package (theano.compat)¶ Compatibility between 2.x and 3.x is implemented using six, a Python 2 and 3 compatibility library by Benjamin Peterson. Python 3.3 was supported up to and including release 0.9. Python 2.6 was supported up to and including the release 0.8.2. According to the many blog contributions - which I tested all.... - it does seem to be a … Port details: py-theano Optimizing compiler for evaluating math expressions on CPUs and GPUs 1.0.4_2 math =0 1.0.4_2 Version of this port present on the latest quarterly branch. NumPy >= 1.9.1 <= 1.12 Earlier versions could work, but we don’t test it.

It is built on top of NumPy. Description Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently, featuring tight integration with NumPy, transparent use of a GPU, efficient symbolic differentiation, speed and stability optimizations and dynamic C code generation. The theano installation tutorial will bog you down in this phase if you don't actually read it carefully. With "import pymc3" I've got a fatal error usually. 2016/03/29: Release of Theano 0.8.1, fixing a compilation issue on MacOS X with XCode 7.3. 2016/03/21: Release of Theano 0.8. Python 2.4 was supported up to and including the release 0.6. Additionally, certain additional or modified functions are available in the theano.compat module. It can use GPUs and perform efficient symbolic differentiation. Install a scientific python distribution like Anaconda. We won't be going that way.

This is the new preferred reference.

2016/04/21: Release of Theano 0.8.2, adding support for CuDNN v5.