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https://github.com/Theano/Theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
https://github.com/Theano/Theano

Last synced: 25 days ago
JSON representation

Host: GitHub
URL: https://github.com/Theano/Theano
Owner: Theano
License: other
Created: 2011-08-10T03:48:06.000Z (almost 13 years ago)
Default Branch: master
Last Pushed: 2024-01-15T03:16:24.000Z (4 months ago)
Last Synced: 2024-04-13T21:03:24.341Z (about 1 month ago)
Language: Python
Homepage: https://www.github.com/pymc-devs/pytensor
Size: 65 MB
Stars: 9,850
Watchers: 541
Forks: 2,488
Open Issues: 694
Metadata Files:
- Readme: README.rst
- Changelog: HISTORY.txt
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt

Lists

Pop_OS-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications / Winetricks)
Autonomous-Systems-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML Frameworks, Libraries, and Tools)
DSP-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML Frameworks, Libraries, and Tools)
Oracle-Cloud-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications)
Linux-Mint-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications)
Computer-Vision-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML Frameworks, Libraries, and Tools / viii. Linear Regression)
macOS-iOS-iPadOS-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications / Objective-C Tools, Libraries, and Frameworks)
VMware-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications)
LiDAR-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML Frameworks, Libraries, and Tools)
Chrome-OS-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (Flutter Tools)
NLP-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML Frameworks, Libraries, and Tools)
Developer-Handbook - Theano - dimensional arrays efficiently including tight integration with NumPy. (Tools / Mesh networks)
Zorin-OS-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications)
awesome-python-cn - Theano
Debian-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications)
SUSE-openSUSE-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications)
awesome-pysci - Theano - Bengio門下のモントリオール大謹製，深層学習ライブラリとしては老舗だが，比較的高速で現役．自動微分でも有名． (深層学習)
ARM-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications)
awesomesource - Theano
IoT-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications / Interfaces)
Awesome-Python - Theano - A library for fast numerical computation. (Deep Learning)
Python-Awesome - Theano - A library for fast numerical computation. (Deep Learning)
Distributed-Systems-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (NLP Tools, Libraries, and Frameworks)
awesome-python - Theano - Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation. (Awesome Python / Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
python-awesome-case1 - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
fucking-awesome-python - :octocat: Theano - :star: 9756 :fork_and_knife: 2511 - A library for fast numerical computation. (Deep Learning)
awesome-python-master - Theano - A library for fast numerical computation. (Deep Learning)
Self-Hosting-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications / Interfaces)
awesome_python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python-machine-learning-resources - GitHub - 21% open · ⏱️ 23.11.2021): (机器学习框架)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
join-awesome-python-interview-topics - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-stars - Theano/Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com (Python)
awesome-python-cn - Theano
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python-cn - 官网
awesome-python-clone - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python-resources-all - Theano - A library for fast numerical computation. (Deep Learning)
AWS-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML frameworks & applications / Interfaces)
awesomesource - Theano
awesome-python-master - Theano - A library for fast numerical computation. (Deep Learning)
fucking-awesome-python - :octocat: Theano - :star: 9269 :fork_and_knife: 2502 - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python-resources - GitHub - 21% open · ⏱️ 23.11.2021): (深度学习)
awesome-python-zh - Theano - 用于快速数值计算的库。 (深度学习)
awesome - Theano
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
my-awesome-awesomeness - Theano
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome_python - Theano - A library for fast numerical computation. (Deep Learning)
awesomesource - Theano
awesome-stars - Theano - dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara | Theano | 9483 | (Python)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesomePython - Theano - A library for fast numerical computation. (Deep Learning)
awesome-stars - Theano/Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com (Python)
awesome_python_with_star - Theano/Theano - dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.|9099| (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
my-awesome-starred - Theano - Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation. (Python)
git-github.com-vinta-awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python-cn - 官网
python-awesome - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
my-awesome-stars - Theano/Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com (Python)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-stars - Theano/Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com (Python)
Mpaperlee-awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-stars - Theano/Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com (Python)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
project-awesome - Theano/Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com (Python)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
Unity-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (Deep Learning Tools, Libraries, and Frameworks / viii. Linear Regression)
Jupyter-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (Apache Spark Tools, Libraries, and Frameworks)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-aigc - Theano
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
awesome-python - Theano - A library for fast numerical computation. (Deep Learning)
Deep-Learning-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (ML Frameworks, Libraries, and Tools)
Apache-Spark-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (NLP Tools, Libraries, and Frameworks)
awesome-tools-cv - Theano
awesome-stars - Theano/Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com (Python)
awesome-list - Theano - A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. (Linear Algebra / Statistics Toolkit / General Purpose Tensor Library)
awesome - Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara (Python)
Apache-Airflow-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (NLP Tools, Libraries, and Frameworks)
Unreal-Engine-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (Deep Learning Tools, Libraries, and Frameworks / viii. Linear Regression)
awesome-python - theano - A library for fast numerical computation. (Deep Learning)
awesome-normalizing-flows - Theano
CoreML-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (NLP Tools, Libraries, and Frameworks)
MATLAB-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (NLP Tools, Libraries, and Frameworks)
PyTorch-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (NLP Tools, Libraries, and Frameworks)
TensorFlow-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (NLP Tools, Libraries, and Frameworks)
Apache-Kafka-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (NLP Tools, Libraries, and Frameworks)
awesome-stars - Theano/Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com (Python)
Parallel-Computing-Guide - Theano - dimensional arrays efficiently including tight integration with NumPy. (NLP Tools, Libraries, and Frameworks)
my-awesome-stars - Theano/Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara (Python)

README

        ============================================================================================================

MILA will stop developing Theano: https://groups.google.com/d/msg/theano-users/7Poq8BZutbY/rNCIfvAEAwAJ

The PyMC developers have forked Theano to a new project called Aesara that is being actively developed: https://github.com/aesara-devs/aesara

============================================================================================================

To install the package, see this page:

   https://theano-pymc.readthedocs.io/en/latest/install.html

For the documentation, see the project website:

   https://theano-pymc.readthedocs.io/en/latest/

Related Projects:

   https://github.com/Theano/Theano/wiki/Related-projects

It is recommended that you look at the documentation on the website, as it will be more current than the documentation included with the package.

In order to build the documentation yourself, you will need sphinx. Issue the following command:

::

   python ./doc/scripts/docgen.py

Documentation is built into ``html/``

The PDF of the documentation can be found at ``html/theano.pdf``

================

DIRECTORY LAYOUT

================

``Theano`` (current directory) is the distribution directory.

* ``Theano/theano`` contains the package

* ``Theano/theano`` has several submodules:

 

  * ``gof`` + ``compile`` are the core

  * ``scalar`` depends upon core

  * ``tensor`` depends upon ``scalar``

  * ``sparse`` depends upon ``tensor``

  * ``sandbox`` can depend on everything else

* ``Theano/examples`` are copies of the example found on the wiki

* ``Theano/benchmark`` and ``Theano/examples`` are in the distribution, but not in

  the Python package

* ``Theano/bin`` contains executable scripts that are copied to the bin folder

  when the Python package is installed

* Tests are distributed and are part of the package, i.e. fall in

  the appropriate submodules

* ``Theano/doc`` contains files and scripts used to generate the documentation

* ``Theano/html`` is where the documentation will be generated