LICENSE.txt
MANIFEST.in
README.md
pyproject.toml
docs/README.md
docs/changelog.md
docs/code_of_conduct.md
docs/conf.py
docs/contributing.md
docs/credits.md
docs/goal.png
docs/installation.md
docs/logo.png
docs/_static/custom.css
docs/advanced_tutorials/02_multiround_inference.ipynb
docs/advanced_tutorials/03_density_estimators.ipynb
docs/advanced_tutorials/04_embedding_networks.ipynb
docs/advanced_tutorials/05_conditional_distributions.ipynb
docs/advanced_tutorials/06_restriction_estimator.ipynb
docs/advanced_tutorials/07_sensitivity_analysis.ipynb
docs/advanced_tutorials/10_diagnostics_posterior_predictive_checks.ipynb
docs/advanced_tutorials/11_diagnostics_simulation_based_calibration.ipynb
docs/advanced_tutorials/12_iid_data_and_permutation_invariant_embeddings.ipynb
docs/advanced_tutorials/13_diagnostics_lc2st.ipynb
docs/advanced_tutorials/14_mcmc_diagnostics_with_arviz.ipynb
docs/advanced_tutorials/15_importance_sampled_posteriors.ipynb
docs/advanced_tutorials/17_plotting_functionality.ipynb
docs/advanced_tutorials/18_training_interface.ipynb
docs/advanced_tutorials/19_flowmatching_and_scorematching.ipynb
docs/advanced_tutorials/20_score_based_methods_new_features.ipynb
docs/advanced_tutorials/21_diagnostics_misspecification_checks.ipynb
docs/advanced_tutorials/toy_posterior_for_07_cc.py
docs/advanced_tutorials/utils_13_diagnosis_sbc.py
docs/faq/question_01_leakage.md
docs/faq/question_02_nans.md
docs/faq/question_03_pickling_error.md
docs/faq/question_08_unconstrained.md
docs/how_to_guide/00_custom_prior.ipynb
docs/how_to_guide/01_crafting_summary_statistics.ipynb
docs/how_to_guide/02_multiround_inference.ipynb
docs/how_to_guide/03_choose_neural_net.ipynb
docs/how_to_guide/03_density_estimators.ipynb
docs/how_to_guide/04_embedding_networks.ipynb
docs/how_to_guide/05_conditional_distributions.ipynb
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docs/how_to_guide/07_gpu_training.ipynb
docs/how_to_guide/07_resume_training.ipynb
docs/how_to_guide/07_save_and_load.ipynb
docs/how_to_guide/08_permutation_invariant_embeddings.ipynb
docs/how_to_guide/09_sampler_interface.ipynb
docs/how_to_guide/10_refine_posterior_with_importance_sampling.ipynb
docs/how_to_guide/11_iid_sampling_with_nle_or_nre.ipynb
docs/how_to_guide/13_diagnostics_lc2st.ipynb
docs/how_to_guide/14_choose_diagnostic_tool.ipynb
docs/how_to_guide/15_expected_coverage.ipynb
docs/how_to_guide/16_sbc.ipynb
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docs/how_to_guide/19_posterior_parameters.ipynb
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docs/tutorials/00_getting_started.ipynb
docs/tutorials/01_Bayesian_workflow.ipynb
docs/tutorials/16_implemented_methods.ipynb
docs/tutorials/Example_00_HodgkinHuxleyModel.ipynb
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sbi/inference/posteriors/__init__.py
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