PabloVD / CosmoGraphNetLinks
Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.
☆18Updated 2 years ago
Alternatives and similar repositories for CosmoGraphNet
Users that are interested in CosmoGraphNet are comparing it to the libraries listed below
Sorting:
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated 2 months ago
- Tutorials for the KITP Galevo23 program☆29Updated 2 years ago
- Predict halo masses from simulations via graph neural networks☆28Updated 3 years ago
- Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141☆25Updated last year
- JAX-based linear Einstein-Boltzmann solver for cosmology☆21Updated this week
- Gradient Based Nested Sampling☆20Updated last year
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆15Updated 3 years ago
- A TensorFlow reimplementation of GalSim☆10Updated 3 years ago
- A Jax wrapper for cudaKDTree☆11Updated 2 weeks ago
- Weighing Black Holes 🔭🤖☆13Updated 4 years ago
- JAX port of GalSim, for parallelized, GPU accelerated, and differentiable galaxy image simulations.☆31Updated this week
- PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS)☆18Updated last year
- Predicting galaxy spectra from images☆18Updated 2 years ago
- Coverage tests to check the quality of your posterior estimators.☆32Updated last year
- Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202☆13Updated last year
- Differentiable Cosmological Forward Model☆87Updated this week
- JAX-powered Cosmological Particle-Mesh N-body Solver☆53Updated this week
- ☆16Updated 4 years ago
- ☆22Updated 2 years ago
- Curated list of astronomy/astrophysics code packages using JAX☆46Updated 10 months ago
- Start with the Chempy tutorial☆32Updated 4 years ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆69Updated last week
- Differentiable Gravitational Waveforms with JAX☆63Updated 2 months ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 2 years ago
- Simulation-based (likelihood-free) inference customized for astronomical applications☆29Updated 11 months ago
- Gravitational-wave data analysis tools in Jax☆75Updated last month
- This the public version of the moving-mesh AREPO code for large-scale structure and galaxy formation simulations.☆32Updated 5 years ago
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆39Updated last month
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆20Updated last year
- Notebooks for PHYS 440/540 at Drexel University☆16Updated 10 months ago