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Training a convolutional neural network with Tensor flow, and visualizing the space of test images with an intensive embedding
Sampling CMB to produce lambda-CDM model manifold
Finding the analytic solution to the intensive embedding of the simple 1 spin model
Visualizing model manifold for CMB, Ising, Trained Neural Network
Constraining Model Predictions with polynomial bounds (Chebyshev and Monomials)
Sampling and Visualizing the Model Manifold for Gaussians
Applying RMT to sloppy models
python scripts to analyse PLIC responses