Sparsistent Model Discovery In this repo, we share the code, data and results of the paper (https://arxiv.org/abs/2106.11936) (1) Randomised Adaptive Lasso: we propose and implement a randomized adaptive Lasso with stability selection and error control see 'pure_sparse_regression_based/pdeX/sparsity_estimators.py' (2) ... within DeepMod we implement the latter sparsity estimator in DeepMod see 'deep_learning_based' folder which contains notebooks with examples for example the Kuramoto-Sivashinsky equation example can be reproduced by running 'xKS50.ipynb' Requirements: conda and pip requirements are shared (see .txt files)