dirmeier / sbijaxLinks
Simulation-based inference in JAX
☆41Updated 3 weeks ago
Alternatives and similar repositories for sbijax
Users that are interested in sbijax are comparing it to the libraries listed below
Sorting:
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆78Updated 5 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆138Updated last month
- MCHMC: sampler from an arbitrary differentiable distribution☆75Updated last week
- Fast, lightweight and parallelised simulation-based inference in JAX.☆22Updated last month
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆255Updated last month
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆50Updated 5 months ago
- Code for Gaussian Score Matching Variational Inference☆35Updated 9 months ago
- Numerical quadrature with JAX☆73Updated this week
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆20Updated last year
- Conditional density estimation with neural networks☆35Updated 10 months ago
- Simulation-based inference benchmark☆107Updated 10 months ago
- A system for scientific simulation-based inference at scale.☆163Updated last year
- ☆205Updated last month
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Probabilistic Programming and Nested sampling in JAX☆213Updated last month
- Matrix-free linear algebra in JAX.☆152Updated 2 weeks ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆21Updated last year
- Generative models with JAX.☆20Updated 11 months ago
- Gravitational-wave data analysis tools in Jax☆79Updated 3 months ago
- JAX-powered Cosmological Particle-Mesh N-body Solver☆58Updated 2 weeks ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆39Updated last week
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆73Updated 2 weeks ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- Gaussian Mixture Models in Jax☆23Updated 5 months ago
- ☆30Updated 2 years ago
- Gradient Based Nested Sampling