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PPX
<p align="left"><img width="40%" src="docs/ppx_logo.png" /></p>PPX
is a cross-platform Probabilistic Programming eXecution protocol and API based on flatbuffers. It is intended as an open interoperability protocol between models and inference engines implemented in different probabilistic programming languages.
Probabilistic programming is about the execution probabilistic models under the control of inference engines, and PPX
allows the model and the inference engine to be
- implemented in different programming languages and
- executed in separate processes and on separate machines across networks.
PPX
is inspired by ONNX, the Open Neural Network Exchange project allowing interoperability between major deep learning frameworks.
Supported languages
We provide PPX
compiled to all programming languages officially supported by flatbuffers. These are:
- C++
- C#
- Dart
- Go
- Java
- Kotlin
- Lobster
- Lua
- PHP
- Python
- Rust
- Swift
- TypeScript
Build
In order to recompile PPX to all supported languages, you can clone this repository and run the flatbuffers compiler in a Docker container as follows.
Prerequisite: Install Docker for your system.
git clone https://github.com/pyprob/ppx.git
cd ppx
docker build -t ppx .
export UID=$(id -u)
export GID=$(id -g)
docker run --user $UID:$GID --rm -it -v $PWD:/home ppx sh compile.sh
License
PPX
is distributed under the BSD License.
Authors
PPX
has been developed by