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halo_painting
halo_painting PublicPredicts 3D halo distributions from dark matter simulations using a physically motivated Wasserstein mapping network
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super_resolution_emulator
super_resolution_emulator PublicPhysically maps 3D low-resolution N-body simulations to high-resolution ones using a Wasserstein generative network
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precision_cosmo
precision_cosmo PublicDemonstrate the potential cosmological constraining of full Bayesian forward modelling approach relative to a standard analysis restricted to 2-point statistics (i.e. at the level of power spectrum)
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SBI_dynamical_mass_estimator
SBI_dynamical_mass_estimator PublicDynamical mass inference of galaxy clusters using a 3D convolutional neural network
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deploying-machine-learning-models
deploying-machine-learning-models PublicForked from trainindata/deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
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