sbi-benchmark / sbibm
Simulation-based inference benchmark
☆96Updated 3 months ago
Alternatives and similar repositories for sbibm:
Users that are interested in sbibm are comparing it to the libraries listed below
- Conditional density estimation with neural networks☆30Updated 3 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Likelihood-free AMortized Posterior Estimation with PyTorch☆127Updated 8 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆63Updated 10 months ago
- A generic interface for linear algebra backends☆73Updated last month
- Normalizing Flows using JAX☆83Updated last year
- Community-sourced list of papers and resources on neural simulation-based inference.☆114Updated 3 months ago
- ☆155Updated last month
- Sequential Neural Likelihood☆40Updated 5 years ago
- A system for scientific simulation-based inference at scale.☆163Updated last year
- Code for Gaussian Score Matching Variational Inference☆33Updated 2 months ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆230Updated last week
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Simulation-based inference in JAX☆31Updated last week
- MCHMC: sampler from an arbitrary differentiable distribution☆72Updated last month
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆10Updated last year
- ☆24Updated last year
- Probabilistic Programming and Nested sampling in JAX☆174Updated last week
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated 3 weeks ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆99Updated last year
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated 2 years ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- State of the art inference for your bayesian models.☆211Updated 2 weeks ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆47Updated 4 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year