pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Add REFUTE scientific critique + calibration benchmark
- Use pytensor-distributions for Normal logp, logcdf, logccdf and icdf
- BUG: default fork worker segfaults for MvNormal/LKJ sampling on macOS arm64
- Add entropy dispatch for distributions
- fix: restore blackjax>=1.6 compatibility for nuts_sampler="blackjax"
- Fix bare except: replace with except Exception: in test fixtures
- Implement icdf for Truncated distributions
- pm.sample segfaults on Apple Silicon: fork default + Accelerate BLAS
- Forward top-level kwargs (chain_method, etc.) to jax NUTS samplers
- BUG: nuts vectorized chain method arg raising in pymc>=6
- Docs
- Python not yet supported