A Python library for probabilistic modeling and inference
Project description
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`Getting Started <http://pyro.ai/examples>`__ \|
`Documentation <http://docs.pyro.ai/>`__ \|
`Community <http://forum.pyro.ai/>`__ \|
`Contributing <https://github.com/uber/pyro/blob/master/CONTRIBUTING.md>`__
Pyro is a flexible, scalable deep probabilistic programming library
built on PyTorch. Notably, it was designed with these principles in
mind: - **Universal**: Pyro is a universal PPL – it can represent any
computable probability distribution. - **Scalable**: Pyro scales to
large data sets with little overhead compared to hand-written code. -
**Minimal**: Pyro is agile and maintainable. It is implemented with a
small core of powerful, composable abstractions. - **Flexible**: Pyro
aims for automation when you want it, control when you need it. This is
accomplished through high-level abstractions to express generative and
inference models, while allowing experts easy-access to customize
inference.
Pyro is in an alpha release. It is developed and used by `Uber AI
Labs <http://uber.ai>`__. For more information, check out our `blog
post <http://eng.uber.com/pyro>`__.
Installing
----------
Installing a stable Pyro release
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
First install `PyTorch <http://pytorch.org/>`__.
Install via pip:
**Python 2.7.*:**
.. code:: sh
pip install pyro-ppl
**Python 3.5:**
.. code:: sh
pip3 install pyro-ppl
**Install from source:**
.. code:: sh
git clone git@github.com:uber/pyro.git
cd pyro
git checkout master # master is pinned to the latest release
pip install .
**Install with extra packages:**
.. code:: sh
pip install pyro-ppl[extras] # for running examples/tutorials
Installing Pyro dev branch
~~~~~~~~~~~~~~~~~~~~~~~~~~
For recent features you can install Pyro from source.
To install a compatible CPU version of PyTorch on OSX / Linux, you could
use the PyTorch install helper script.
::
bash scripts/install_pytorch.sh
Alternatively, build PyTorch following instructions in the PyTorch
`README <https://github.com/pytorch/pytorch/blob/master/README.md>`__.
.. code:: sh
git clone --recursive https://github.com/pytorch/pytorch
cd pytorch
git checkout 200fb22 # <---- a well-tested commit
On Linux:
.. code:: sh
python setup.py install
On OSX:
.. code:: sh
MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py install
Finally install Pyro
.. code:: sh
git clone https://github.com/uber/pyro
cd pyro
pip install .
Running Pyro from a Docker Container
------------------------------------
Refer to the instructions `here <docker/README.md>`__.
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</div>
--------------
`Getting Started <http://pyro.ai/examples>`__ \|
`Documentation <http://docs.pyro.ai/>`__ \|
`Community <http://forum.pyro.ai/>`__ \|
`Contributing <https://github.com/uber/pyro/blob/master/CONTRIBUTING.md>`__
Pyro is a flexible, scalable deep probabilistic programming library
built on PyTorch. Notably, it was designed with these principles in
mind: - **Universal**: Pyro is a universal PPL – it can represent any
computable probability distribution. - **Scalable**: Pyro scales to
large data sets with little overhead compared to hand-written code. -
**Minimal**: Pyro is agile and maintainable. It is implemented with a
small core of powerful, composable abstractions. - **Flexible**: Pyro
aims for automation when you want it, control when you need it. This is
accomplished through high-level abstractions to express generative and
inference models, while allowing experts easy-access to customize
inference.
Pyro is in an alpha release. It is developed and used by `Uber AI
Labs <http://uber.ai>`__. For more information, check out our `blog
post <http://eng.uber.com/pyro>`__.
Installing
----------
Installing a stable Pyro release
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
First install `PyTorch <http://pytorch.org/>`__.
Install via pip:
**Python 2.7.*:**
.. code:: sh
pip install pyro-ppl
**Python 3.5:**
.. code:: sh
pip3 install pyro-ppl
**Install from source:**
.. code:: sh
git clone git@github.com:uber/pyro.git
cd pyro
git checkout master # master is pinned to the latest release
pip install .
**Install with extra packages:**
.. code:: sh
pip install pyro-ppl[extras] # for running examples/tutorials
Installing Pyro dev branch
~~~~~~~~~~~~~~~~~~~~~~~~~~
For recent features you can install Pyro from source.
To install a compatible CPU version of PyTorch on OSX / Linux, you could
use the PyTorch install helper script.
::
bash scripts/install_pytorch.sh
Alternatively, build PyTorch following instructions in the PyTorch
`README <https://github.com/pytorch/pytorch/blob/master/README.md>`__.
.. code:: sh
git clone --recursive https://github.com/pytorch/pytorch
cd pytorch
git checkout 200fb22 # <---- a well-tested commit
On Linux:
.. code:: sh
python setup.py install
On OSX:
.. code:: sh
MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py install
Finally install Pyro
.. code:: sh
git clone https://github.com/uber/pyro
cd pyro
pip install .
Running Pyro from a Docker Container
------------------------------------
Refer to the instructions `here <docker/README.md>`__.
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