sbi-benchmark / sbibmLinks
Simulation-based inference benchmark
☆101Updated 7 months ago
Alternatives and similar repositories for sbibm
Users that are interested in sbibm are comparing it to the libraries listed below
Sorting:
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated last year
- Conditional density estimation with neural networks☆32Updated 7 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆69Updated 2 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆124Updated 3 months ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Simulation-based inference in JAX☆32Updated 4 months ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆248Updated last week
- Probabilistic Programming and Nested sampling in JAX☆198Updated last week
- Code for Gaussian Score Matching Variational Inference☆34Updated 6 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated 3 months ago
- Normalizing Flows using JAX☆84Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated 2 months ago
- A generic interface for linear algebra backends☆73Updated 5 months ago
- ☆181Updated 2 weeks ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 10 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- ☆16Updated 4 months ago
- ☆27Updated last year
- State of the art inference for your bayesian models.☆221Updated 3 months ago
- Matrix-free linear algebra in JAX.☆138Updated this week
- ☆52Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆235Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated last year
- The tiniest of Gaussian Process libraries☆315Updated 3 weeks ago
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆11Updated last month
- A differentiable cosmology library in JAX☆210Updated last month
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago