smsharma / awesome-neural-sbiLinks
Community-sourced list of papers and resources on neural simulation-based inference.
☆121Updated 2 months ago
Alternatives and similar repositories for awesome-neural-sbi
Users that are interested in awesome-neural-sbi are comparing it to the libraries listed below
Sorting:
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆69Updated last month
- Simulation-based inference in JAX☆33Updated 3 months ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆249Updated last month
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated 11 months ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated 3 months ago
- Simulation-based inference benchmark☆99Updated 6 months ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated this week
- Probabilistic Programming and Nested sampling in JAX☆193Updated last month
- ☆177Updated last month
- Gravitational-wave data analysis tools in Jax☆73Updated this week
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆109Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated last month
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆58Updated last year
- Conditional density estimation with neural networks☆32Updated 6 months ago
- A differentiable cosmology library in JAX☆211Updated last month
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆69Updated 2 months ago
- Gradient Based Nested Sampling☆20Updated last year
- Generative models with JAX.☆19Updated 7 months ago
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆20Updated last year
- JAX-powered Cosmological Particle-Mesh N-body Solver☆52Updated 3 weeks ago
- nessai: Nested Sampling with Artificial Intelligence☆40Updated last month
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆20Updated last year
- The tiniest of Gaussian Process libraries☆314Updated this week
- Coverage tests to check the quality of your posterior estimators.☆30Updated 11 months ago
- Interpolation and function approximation with JAX☆209Updated last week
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆74Updated 3 months ago
- Normalising flows implemented using nflows☆27Updated 9 months ago
- ☆27Updated last year
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆24Updated 6 months ago