AlexandreAdam / score_models
A repository to store state of the art score model architectures
☆48Updated 3 months ago
Alternatives and similar repositories for score_models:
Users that are interested in score_models are comparing it to the libraries listed below
- Coverage tests to check the quality of your posterior estimators.☆30Updated 7 months ago
- Implemenation of PQMass from Lemos et al. 2024☆13Updated 4 months ago
- Curated list of astronomy/astrophysics code packages using JAX☆38Updated 3 months ago
- ☆16Updated 4 years ago
- JAX-based linear Einstein-Boltzmann solver for cosmology☆15Updated last week
- Normalising flows implemented using nflows☆27Updated 5 months ago
- nessai: Nested Sampling with Artificial Intelligence☆38Updated 3 weeks ago
- Galaxy images labelled by morphology (shape). Aimed at ML development and teaching.☆37Updated last year
- A codebase dedicated to exploring multimodal learning approaches by integrating images of host galaxies of supernovae and their correspon…☆13Updated 2 months ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆31Updated last year
- Robust ML in Astro☆51Updated last month
- A JAX package for weak gravitational lensing☆31Updated 10 months ago
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆83Updated 2 months ago
- Wavelet Phase Harmonics in PyTorch for Images☆15Updated 2 months ago
- Gravitational-wave data analysis tools in Jax☆66Updated last week
- Differentiable and accelerated wavelet transform on the sphere with JAX☆17Updated 11 months ago
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆15Updated last year
- Machine Learning - accelerated Bayesian inference☆67Updated 3 months ago
- Spectrum encoder and decoder☆38Updated 3 weeks ago
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆37Updated 2 weeks ago
- ML-friendly datasets of galaxy images and labels☆49Updated 2 weeks ago
- Simulation-based (likelihood-free) inference customized for astronomical applications☆26Updated 4 months ago
- Learning Diffusion Priors from Observations by Expectation Maximization☆23Updated 2 weeks ago
- Accelerated Bayesian SED modeling using Amortized Neural Posterior Estimation☆23Updated last month
- Likelihood-Free Inference for Gravitational Waves☆38Updated 3 years ago
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last year
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆15Updated 2 years ago
- Differentiable Likelihood for CMB Analysis☆17Updated last week
- Fast, lightweight and parallelised simulation-based inference in JAX.☆17Updated last week
- PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS)☆17Updated 7 months ago