SihaoCheng / scattering_transformLinks
A webpage for the scattering transform. To calculate, you just need the folder called "scattering".
☆61Updated last year
Alternatives and similar repositories for scattering_transform
Users that are interested in scattering_transform are comparing it to the libraries listed below
Sorting:
- Robust ML in Astro☆73Updated last week
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆111Updated 2 years ago
- PyAutoFit: Classy Probabilistic Programming☆63Updated last week
- nessai: Nested Sampling with Artificial Intelligence☆45Updated 2 weeks ago
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆39Updated 5 months ago
- Libraries to analyze numerical simulations☆44Updated 5 years ago
- Code for Bayesian Analysis☆156Updated last week
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆95Updated last month
- Likelihood-Free Inference for Gravitational Waves☆42Updated 4 years ago
- Simulation-based (likelihood-free) inference customized for astronomical applications☆29Updated last year
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆115Updated 4 months ago
- MCMC sample analysis, kernel densities, plotting, and GUI☆181Updated last month
- Examples for usage of the Core Cosmology Library☆31Updated 9 months ago
- A unified pseudo-Cl framework☆65Updated last month
- Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to☆109Updated 5 months ago
- A Python/C++ package for three-point clustering measurements in LSS analyses☆22Updated last week
- Curated list of astronomy/astrophysics code packages using JAX☆52Updated last week
- Accelerated Bayesian SED modeling using Amortized Neural Posterior Estimation☆25Updated last month
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆75Updated 3 weeks ago
- Updated version of the Sparse Lens Inversion Technique (SLIT) for use within the lens modelling code lenstronomy☆10Updated 4 years ago
- Material for the "ML for the Sciences" meeting at Princeton University☆55Updated 6 years ago
- Machine Learning - accelerated Bayesian inference☆78Updated last year
- Differentiable Stellar Population Synthesis☆32Updated 2 weeks ago
- A gravitational lensing simulator for the machine learning era.☆49Updated last week
- ☆27Updated 2 months ago
- Coverage tests to check the quality of your posterior estimators.☆33Updated last year
- A python package for making arbitrarily structured, arbitrary-dimension boxes☆26Updated last week
- hankl is a lightweight Python implementation of the FFTLog algorithm for Cosmology☆25Updated 2 years ago
- A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)☆43Updated 2 years ago
- ☆16Updated 5 years ago