Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)
☆14May 26, 2026Updated 5 months ago
Alternatives and similar repositories for robust-sbi
Users that are interested in robust-sbi are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 10 months ago
- PriorDB aims to make choosing a prior for a Bayesian model easier☆14Sep 15, 2026Updated last month
- Conditional density estimation with neural networks☆35Jan 18, 2025Updated last year
- A Python library for simulation and Bayesian estimation of models with time-varying parameters.☆23Sep 29, 2026Updated last month
- This is a community-driven collection of resources around amortized inference.☆75Jan 22, 2026Updated 9 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆87Jun 20, 2025Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆47Jun 14, 2021Updated 5 years ago
- ☆16Jun 10, 2022Updated 4 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆25Apr 12, 2023Updated 3 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆167Updated this week
- Simulate transients within the sky☆16Oct 5, 2026Updated 3 weeks ago
- A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo sampling☆12Feb 8, 2025Updated last year
- Repository for fitting Drift-Diffusion models with identifiable within-trial noise parameters in Python using BayesFlow☆10Apr 30, 2025Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆111Sep 11, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- This is an implementation of direct density ratio estimation by unconstrained Least-Squares Importance Fitting (uLSIF) with python.☆16May 31, 2024Updated 2 years ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆15Aug 18, 2023Updated 3 years ago
- Glaciology jupyterbook☆12Nov 14, 2024Updated last year
- ☆18Oct 23, 2026Updated last week
- Latex package for drawing (causal) influence diagrams (CIDs) and labeling incentives, maintained by the Causal Incentives Working Group☆13Mar 1, 2021Updated 5 years ago
- A Python library for simulation-based inference with deep learning☆783Updated this week
- Cost-aware Bayesian optimization via the Pandora's box Gittins index☆13Aug 8, 2025Updated last year
- Code for the paper "Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning…☆14Nov 15, 2023Updated 2 years ago
- Simulation-based (likelihood-free) inference customized for astronomical applications☆30Nov 4, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆14Jul 14, 2026Updated 3 months ago
- Psi and psi-marginal adaptive staircase procedure for use in psychophysics.☆12Jul 26, 2017Updated 9 years ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆877Oct 23, 2026Updated last week
- ABC random forests for model choice and parameter estimation, pure C++ implementation☆10Oct 7, 2024Updated 2 years ago
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆42Aug 12, 2025Updated last year
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆11Jul 6, 2024Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆42Sep 4, 2025Updated last year
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆18Jul 25, 2024Updated 2 years ago
- Slice sampling algorithms in Julia☆13Sep 11, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆15Aug 16, 2024Updated 2 years ago
- 论文Reinforcement Learning of Sequential Price Mechanisms的复现☆12Nov 3, 2022Updated 3 years ago
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 9 years ago
- ☆38Nov 8, 2023Updated 2 years ago
- Implementation of Integral Probability Measures in Julia☆12Feb 21, 2023Updated 3 years ago
- Package for calculating sub-canopy shortwave radiation☆10Jun 5, 2026Updated 4 months ago
- Normalizing flows in PyTorch☆1,020Dec 27, 2024Updated last year