huangdaolang / robust-sbiLinks
Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)
☆11Updated last year
Alternatives and similar repositories for robust-sbi
Users that are interested in robust-sbi are comparing it to the libraries listed below
Sorting:
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆67Updated 11 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated last month
- Conditional density estimation with neural networks☆31Updated 4 months ago
- Simulation-based inference in JAX☆31Updated last month
- Community-sourced list of papers and resources on neural simulation-based inference.☆115Updated 2 weeks ago
- Generative models with JAX.☆17Updated 5 months ago
- Simulation-based inference benchmark☆97Updated 4 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆239Updated last week
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆24Updated 4 months ago
- ☆161Updated 3 weeks ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆128Updated 9 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated last week
- Likelihood-Free Frequentist Inference☆17Updated last month
- A system for scientific simulation-based inference at scale.☆164Updated last year
- ☆26Updated last year
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆19Updated last year
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆27Updated 2 years ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆14Updated 3 years ago
- ☆15Updated last month
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆68Updated last week
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆109Updated last year
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆20Updated last year
- nessai: Nested Sampling with Artificial Intelligence☆40Updated this week
- Gradient Based Nested Sampling☆20Updated last year
- Coverage tests to check the quality of your posterior estimators.☆30Updated 9 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Code for Gaussian Score Matching Variational Inference☆33Updated 3 months ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated 2 weeks ago
- Self-tuning HMC algorithms and evaluations☆19Updated 7 months ago