add forum to readme
[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)
-Please also refer to the [Pyro homepage](http://pyro.ai/).
-
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.
@@ -22,7 +21,7 @@ Pyro is a flexible, scalable deep probabilistic programming library built on PyT
- **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).
-More information is available in the [launch blog post](http://eng.uber.com/pyro).
+For more information, check out our [blog post](http://eng.uber.com/pyro).
## Installation
