Brancher – A user-friendly PyTorch module for probabilistic inference
Brancher – A user-friendly PyTorch module for probabilistic inference launched on June 15, 2019 with 96 votes, #309 of 2,757 launches that month and more than 90% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
Brancher is a PyTorch module designed for probabilistic inference, enabling users to build and run Bayesian models. It simplifies the implementation of probabilistic programming by integrating with PyTorch's framework. The tool is intended for researchers and developers working with statistical modeling and uncertainty quantification. Brancher makes probabilistic inference more accessible by providing a user-friendly interface that leverages PyTorch's computational capabilities.
written from the facts on this page · September 2026
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