v0.10.0

• Added option to pass external data (#264)
• Added setters for MCMC parameters (#267)
• Added check for density_estimator argument (#263)
• Fixed NeuralPosterior pickling error (#265)
• Added code coverage reporting (#269)

v0.9.0

• Added ABC methods (#250)
• Added multiple chains for MCMC and new init strategy (#247)
• Added options for z-scoring for all inference methods (#256)
• Simplified swapping out neural networks (#256)
• Improved tutorials
• Fixed device keyword argument (#253)
• Removed need for passing x-shapes (#259)

First public release

• Check installation instructions.
• Introduction to simulation-based inference, a practical tutorial and full API documentation all available at mackelab.org/sbi.
• We are very grateful to Vinta Chen (@vinta, https://github.com/vinta) for kindly ceding to us the sbi project name on PyPI.