diff --git a/README.md b/README.md
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+++ b/README.md
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 # TMLE
 
-[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://olivierlabayle.github.io/TMLE.jl/stable)
-![GitHub Workflow Status (with branch)](https://img.shields.io/github/actions/workflow/status/olivierlabayle/TMLE.jl/CI.yml?branch=main)
-![Codecov](https://img.shields.io/codecov/c/github/olivierlabayle/TMLE.jl)
-![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/olivierlabayle/TMLE.jl)
+[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://targene.github.io/TMLE.jl/stable/)
+![GitHub Workflow Status (with branch)](https://img.shields.io/github/actions/workflow/status/TARGENE/TMLE.jl/CI.yml?branch=main)
+![Codecov](https://img.shields.io/codecov/c/github/TARGENE/TMLE.jl/main)
+![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/TARGENE/TMLE.jl)
 
 Targeted Minimum Loss-Based Estimation (TMLE) is a framework for efficient estimation of pathwise differentiable parameters. The goal of this package is to provide an implementation on top of the [MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/) framework.
 
 
-**New to TMLE.jl?** The API design is still work in progress but you can already [get started now](https://olivierlabayle.github.io/TMLE.jl/dev/)
+**New to TMLE.jl?** The API design is still work in progress but you can already [get started now](https://targene.github.io/TMLE.jl/stable/)