Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-neural-sbi
Community-sourced list of papers and resources on neural simulation-based inference.
https://github.com/smsharma/awesome-neural-sbi
Last synced: 6 days ago
JSON representation
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Neuroscience and Cognitive Science
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Application to Real Data
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Other Domains
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Review Papers
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Discovery and Links
- arXiv search - based inference" or "likelihood-free inference"
- Google Scholar search - based inference" or "likelihood-free inference"
- simulation-based-inference.org - based inference, including an automatically-compiled [list of papers](http://simulation-based-inference.org/papers/).
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Cosmology, Astrophysics, and Astronomy
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Particle Physics
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Health and Medicine
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Code Packages and Benchmarks
- [Code - based inference framework with a focus on amortized Bayesian workflows.
- [Code - benchmark.github.io/) [[Paper]](https://arxiv.org/abs/2312.03824): Simulation-based inference benchmarking framework.
- [Code - efficient, simulation-based inference technique for complex data and expensive simulators.
- [Code - based inference in Julia.
- [Code - based inference in JAX.
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- [Code - Free Inference (DELFI) with neural density estimators and adaptive acquisition of simulations.
- [Code - hep.org/carl/) [[Paper]](https://joss.theoj.org/papers/10.21105/joss.00011): Early toolbox for neural network-based likelihood-free inference in Python.
- [Code - purpose simulation-based inference toolkit.
- [Code - free AMortized Posterior Estimation with PyTorch.
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Tutorials
- SBI Tutorial - on tutorial introducing basic SBI concepts and methods.
Programming Languages
Categories
Sub Categories
Keywords
simulation-based-inference
3
parameter-estimation
3
bayesian-inference
2
pytorch
2
python
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machine-learning
2
likelihood-free-inference
2
amortized-inference
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deep-learning
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invertible-networks
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likelihood-free
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model-comparison
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simulation-based
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uncertainty-quantification
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marginal-neural-ratio-estimation
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neural-ratio-estimation
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truncated-neural-ratio-estimation
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abc
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approximate-bayesian-computation
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normalizing-flows
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smc-abc
1