diff --git a/README.md b/README.md index 1f5a0a9da..c4c7b4240 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,8 @@ # Turing.jl -[![Build Status](https://travis-ci.com/TuringLang/Turing.jl.svg?branch=master)](https://travis-ci.com/TuringLang/Turing.jl) [![Build Status](https://github.com/TuringLang/Turing.jl/workflows/Turing-CI/badge.svg)](https://github.com/TuringLang/Turing.jl/actions?query=workflow%3ATuring-CI+branch%3Amaster) -[![Coverage Status](https://coveralls.io/repos/github/yebai/Turing.jl/badge.svg?branch=master)](https://coveralls.io/github/yebai/Turing.jl?branch=master) +[![Coverage Status](https://coveralls.io/repos/github/TuringLang/Turing.jl/badge.svg?branch=master)](https://coveralls.io/github/TuringLang/Turing.jl?branch=master) +[![codecov](https://codecov.io/gh/TuringLang/Turing.jl/branch/master/graph/badge.svg?token=OiUBsnDQqf)](https://codecov.io/gh/TuringLang/Turing.jl) [![Documentation](https://img.shields.io/badge/doc-latest-blue.svg)](https://turing.ml/dev/docs/using-turing/) **Turing.jl** is a Julia library for general-purpose [probabilistic programming](https://en.wikipedia.org/wiki/Probabilistic_programming_language). Turing allows the user to write models using standard Julia syntax, and provides a wide range of sampling-based inference methods for solving problems across probabilistic machine learning, Bayesian statistics, and data science. Compared to other probabilistic programming languages, Turing has a special focus on modularity, and decouples the modelling language (i.e. the compiler) and inference methods. This modular design, together with the use of a high-level numerical language Julia, makes Turing particularly extensible: new model families and inference methods can be easily added.