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Bio: Theoretical Physics. Cosmology
Type: User
Bio: Theoretical Physics. Cosmology
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Jupyter Notebooks for Andrew Ng's Machine Learning Coursera Class
Machine Learning: a New Toolbox for Theoretical Physics (Advanced Topics in Theoretical Physics course)
Tutorial for deep learning in astrophysics (SDSS spectral classification)
Thermonuclear supernovae (Type-Ia or SNeIa)
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.
A practical guide to MCMC
Public repository for the Monte Python Code
Create one of the iconic figures in cosmology, from https://arxiv.org/abs/1905.08103 (thanks to Docker/Julia/Jupyter)
Exercise on using neural networks to classify quasar spectra from the SDSS DR14Q catalog
Home of COPPER (COsmological Parametrized PERturbations)
Web app to visualize the overlap between various CMB and Galaxy surveys
fast exact least squares two-point correlation functions
Generates gravitational wave results from numerical simulations of MHD turbulence performed using the Pencil Code.
DESI cosmological simulation coordination code
Animations and plots illustrating homogeneous cosmology within different models
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.
Multipole expansion for HI intensity mapping experiments
ML project to trace the formation of dark matter halos in N-body simulation
Neutrino mass constraints from systematics corrected galaxy power spectrum
In here, the code and additional plots used for a work on neutrino oscillations and the Hubble tension are given
Monte Carlo realizations of ellipsoidal NFW halo profiles
Test whether the Gaussian function form of the likelihood that's used in galaxy clustering analyses is correct.
An example of non-linear fitting through generative model building in astrophysics.
Binned polyspectrum estimation on the full sky, optionally mask-deconvolved
Notes about lensing in the Schwarzschild metric applicable to neutron stars.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.