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View All on GitHub Add Padding to Adapter 16 days ago
feature user interface good first issue
A Python library for efficient Bayesian modeling with deep learning
Python
#amortized-inference#bayesian-statistics#computational-modeling#deep-learning#generative-ai#generative-models#neural-networks#simulation-based-inference
Allow Pydantic models for network configs 5 months ago
feature user interface good first issue sugar
A Python library for efficient Bayesian modeling with deep learning
Python
#amortized-inference#bayesian-statistics#computational-modeling#deep-learning#generative-ai#generative-models#neural-networks#simulation-based-inference
Add tests using optimization (`-O` and `-OO`) 8 months ago
good first issue
A Python library for efficient Bayesian modeling with deep learning
Python
#amortized-inference#bayesian-statistics#computational-modeling#deep-learning#generative-ai#generative-models#neural-networks#simulation-based-inference
[FEATURE] H5Dataset 8 months ago
feature good first issue
A Python library for efficient Bayesian modeling with deep learning
Python
#amortized-inference#bayesian-statistics#computational-modeling#deep-learning#generative-ai#generative-models#neural-networks#simulation-based-inference
A lightweight test repository suggestion for Bayesflow for minimal and quick testing with branches and special test files 10 months ago
unit tests good first issue sugar
A Python library for efficient Bayesian modeling with deep learning
Python
#amortized-inference#bayesian-statistics#computational-modeling#deep-learning#generative-ai#generative-models#neural-networks#simulation-based-inference