Update README.md
updated links for the docker images to the organization ones
@@ -76,9 +76,7 @@ with Geant4. In this case, the user has to implement code that runs the detector
and stores the observables and weights in the HDF5 file. The `DelphesProcessor` and `LHEProcessor` classes might provide
some guidance for this.
-We're currently working on a [reference Docker image](https://hub.docker.com/r/irinahub/docker-madminer-madgraph) that
-has all these dependencies and the needed patches installed.
-
+You can find here [DockerHub madminertool](https://cloud.docker.com/u/madminertool/) the docker images for the lastest version of: the MadMiner library, the MadMiner physics section (MadGraph, Delphes, custom software dependencies and code for configuration, generation and Delphes processing deployment) and the MadMiner ML section (code for configuration, training and evaluation). Please email [iem244@nyu.edu]() for any inquiries about the Docker images.
### Install MadMiner
To install the MadMiner package with all its Python dependencies, run `pip install madminer`.
