System identification through Lipschitz regularized deep neural networks

•Reconstruction of a system of ODE from data using a deep neural network.•Lipschitz regularization term added in the loss function improves recovery.•The regularized model is robust to noise.•No prior knowledge on the ODE system is needed to recover the equation.•The model can handle systems of any dimension and can be used for real-world data.