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mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

ml-course-solutions

Jupyter Notebooks for Andrew Ng's Machine Learning Coursera Class

ml-ditp-attpbhlec

Machine Learning: a New Toolbox for Theoretical Physics (Advanced Topics in Theoretical Physics course)

ml-for-astro-tutorial

Tutorial for deep learning in astrophysics (SDSS spectral classification)

ml4sci_thermonuclear_supernovae_classification

Thermonuclear supernovae (Type-Ia or SNeIa)

ml_lecturescosmo

monte-carlo-simulationeddigntonsolareclipse

Markov chain Monte Carlo (MCMC) and Hamiltonian Monte Carlo (HMC) random walk algorithms and statistical models were used to estimate cosmological parameters from supernova Ia data and analyse data from Eddignton's 1919 solar eclipse data to prove Einstein's General Relativity.

montecarloxxxaquipractical_mcmc

A practical guide to MCMC

montepython_publicmricharte

Public repository for the Monte Python Code

mpk_compilationpowerspectrummejor

Create one of the iconic figures in cosmology, from https://arxiv.org/abs/1905.08103 (thanks to Docker/Julia/Jupyter)

mqc-nets

Exercise on using neural networks to classify quasar spectra from the SDSS DR14Q catalog

mrcosmogaugeinpertucopper

Home of COPPER (COsmological Parametrized PERturbations)

mrcrosscorrelationcmb-x-galaxy-overlaps

Web app to visualize the overlap between various CMB and Galaxy surveys

mricharte2pcf

fast exact least squares two-point correlation functions

mricharteaquigraficosxxxgw_turbulence

Generates gravitational wave results from numerical simulations of MHD turbulence performed using the Pencil Code.

mrichartedesi_cosmosim

DESI cosmological simulation coordination code

mrichartesimulationrfwhomogeneous_cosmology_animations

Animations and plots illustrating homogeneous cosmology within different models

mtneedlet

This is a Python Package aimed at the use of needlets to filter spherical maps, detecting the maxima within the maps and analysing them using a multiple testing approach.

multifield-dark-energy

multipoleexpansionmapas21cmaquixxx

Multipole expansion for HI intensity mapping experiments

nbodyassembly-of-dark-matter-halos-in-the-universe

ML project to trace the formation of dark matter halos in N-body simulation

neutpkcmb

Neutrino mass constraints from systematics corrected galaxy power spectrum

neutrinooscillation-h0tension

In here, the code and additional plots used for a work on neutrino oscillations and the Hubble tension are given

nfwmodelellipsoidal_nfw

Monte Carlo realizations of ellipsoidal NFW halo profiles

nm_vector-field_cosmoeval

nongausslikemr

Test whether the Gaussian function form of the likelihood that's used in galaxy clustering analyses is correct.

nonlinearfittingexamplestars

An example of non-linear fitting through generative model building in astrophysics.

noruegaaquixxxcmbpolybin

Binned polyspectrum estimation on the full sky, optionally mask-deconvolved

noruegaaquixxxxxobserved-eb-power-spectrum

nslensingbh

Notes about lensing in the Schwarzschild metric applicable to neutron stars.