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

Training Data and Trained models corresponding to the upcoming paper: 'The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows' 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. To reproduce the published results, git clone https://github.com/NF4HEP/NFLikelihoods, and plug in the provided resources in the corresponding directories of the code.