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: about 3 hours ago
JSON representation
-
Neuroscience and Cognitive Science
- [Paper
- [bioRxiv
- [Paper
- [Paper
- [Paper
- [arXiv
- [arXiv
- [bioRxiv
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [arXiv
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
-
Application to Real Data
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [arXiv
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [arXiv
- [arXiv
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [arXiv
- [Paper
- [arXiv
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
-
Other Domains
- [Paper
- [arXiv
- [arXiv
- [arXiv
- [Paper
- [arXiv
- [arXiv
- [arXiv
- [bioRxiv
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [arXiv
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [arXiv
- [arXiv
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
- [Paper
-
Review Papers
-
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/).
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [Master thesis
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [bioRxiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv - lab/swyft/)
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv - mining-example)
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- arXiv search - based inference" or "likelihood-free inference"
- [arXiv
- [arXiv
- [arXiv
- Google Scholar search - based inference" or "likelihood-free inference"
-
Cosmology, Astrophysics, and Astronomy
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
-
Particle Physics
-
Health and Medicine
-
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.
- [Code
- [Code
- [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.
-
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
2
machine-learning
2
likelihood-free-inference
2
amortized-inference
1
deep-learning
1
invertible-networks
1
likelihood-free
1
model-comparison
1
simulation-based
1
uncertainty-quantification
1
marginal-neural-ratio-estimation
1
neural-ratio-estimation
1
truncated-neural-ratio-estimation
1
abc
1
approximate-bayesian-computation
1
normalizing-flows
1
smc-abc
1