PabloVD / CosmoGraphNetLinks
Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.
☆19Updated 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 4 months ago
- Predict halo masses from simulations via graph neural networks☆28Updated 4 years ago
- Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141☆25Updated last year
- Tutorials for the KITP Galevo23 program☆29Updated 2 years ago
- JAX-based linear Einstein-Boltzmann solver for cosmology☆24Updated last month
- PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS)☆18Updated last year
- Weighing Black Holes 🔭🤖☆13Updated 4 years ago
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆15Updated 3 years ago
- Gradient Based Nested Sampling☆20Updated last year
- ☆16Updated 5 years ago
- Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202☆13Updated last year
- A Jax wrapper for cudaKDTree☆11Updated 2 months ago
- Predicting galaxy spectra from images☆19Updated 2 years ago
- JAX-powered Cosmological Particle-Mesh N-body Solver☆58Updated 2 weeks ago
- Differentiable Cosmological Forward Model☆89Updated last week
- Simulation-based (likelihood-free) inference customized for astronomical applications☆29Updated last year
- Curated list of astronomy/astrophysics code packages using JAX☆51Updated last week
- a differentiable lensing simulator☆10Updated 3 years ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 3 years ago
- A TensorFlow reimplementation of GalSim☆10Updated 3 years ago
- A webpage for the scattering transform. To calculate, you just need the folder called "scattering".☆60Updated last year
- Gravitational-wave data analysis tools in Jax☆77Updated 3 months ago
- ☆22Updated 2 years ago
- Coverage tests to check the quality of your posterior estimators.☆32Updated last year
- Normalising flows implemented using nflows☆27Updated last year
- Galaxy images labelled by morphology (shape). Aimed at ML development and teaching.☆40Updated 2 years ago
- A neural network emulator to transform field data☆44Updated 3 years ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆72Updated 2 weeks ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- Start with the Chempy tutorial☆32Updated 4 years ago