Datasets and Trained Models of the paper: The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows

<p><strong>Training Data and Trained models corresponding to the publication: 'The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows' (<a href="https://arxiv.org/abs/2309.09743">arXiv:2309.09743</a>).</strong></p> <p>The files cointain the relevant resources for 3 trained Likelihood functions: The Toy-Likelihood, the EW-Likelihood and the Flavor-Likelihood. In each corresponding directory, the training data is found in \data. The trained model and generated samples are found in \NFmodel.</p> <p>To reproduce the published results, git clone&nbsp;https://github.com/NF4HEP/NFLikelihoods,&nbsp; and plug in the provided resources in the corresponding directories of the code.</p> <p>&nbsp;</p> <p>&nbsp;</p>