Fitting proton substructure to observation data using neural networks
[The NNPDF collaboration](http://nnpdf.science) determines the structure of the proton using Machine Learning methods. This is the main repository of the fitting and analysis frameworks. In particular it contains all the necessary tools to [reproduce](https://docs.nnpdf.science/tutorials/reproduce.html) the [NNPDF4.0 PDF determinations](https://arxiv.org/abs/2109.02653). See also our recent [ArXiv preprint](https://arxiv.org/abs/2410.16248)
An open-source machine learning framework for global analyses of parton distributions
nNNPDF3.0: evidence for a modified partonic structure in heavy nuclei
Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure