sbi-benchmark / sbibmLinks
Simulation-based inference benchmark
☆103Updated 9 months ago
Alternatives and similar repositories for sbibm
Users that are interested in sbibm are comparing it to the libraries listed below
Sorting:
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆72Updated 4 months ago
- Conditional density estimation with neural networks☆34Updated 9 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆130Updated 5 months ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- A generic interface for linear algebra backends☆74Updated 7 months ago
- Normalizing Flows using JAX☆85Updated last year
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆251Updated 2 months ago
- Simulation-based inference in JAX☆37Updated 6 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last month
- Code for Gaussian Score Matching Variational Inference☆35Updated 8 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- ☆27Updated last year
- MCHMC: sampler from an arbitrary differentiable distribution☆74Updated 5 months ago
- ☆192Updated last week
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- Probabilistic Programming and Nested sampling in JAX☆209Updated 2 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆239Updated last year
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆49Updated 2 months ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Matrix-free linear algebra in JAX.☆141Updated last month
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆21Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- ☆51Updated 2 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 3 weeks ago