All modules for which code is available
- pymc.backends.arviz
- pymc.backends.base
- pymc.backends.ndarray
- pymc.blocking
- pymc.data
- pymc.distributions.censored
- pymc.distributions.continuous
- pymc.distributions.custom
- pymc.distributions.discrete
- pymc.distributions.distribution
- pymc.distributions.mixture
- pymc.distributions.multivariate
- pymc.distributions.shape_utils
- pymc.distributions.simulator
- pymc.distributions.timeseries
- pymc.distributions.transforms
- pymc.distributions.truncated
- pymc.func_utils
- pymc.gp.cov
- pymc.gp.gp
- pymc.gp.hsgp_approx
- pymc.gp.mean
- pymc.logprob.basic
- pymc.logprob.transforms
- pymc.math
- pymc.model.core
- pymc.model.fgraph
- pymc.model.transform.conditioning
- pymc.model.transform.optimization
- pymc.model_graph
- pymc.ode.ode
- pymc.pytensorf
- pymc.sampling.deterministic
- pymc.sampling.forward
- pymc.sampling.mcmc
- pymc.smc.kernels
- pymc.smc.sampling
- pymc.stats.log_density
- pymc.step_methods.compound
- pymc.step_methods.hmc.hmc
- pymc.step_methods.hmc.nuts
- pymc.step_methods.metropolis
- pymc.step_methods.slicer
- pymc.tuning.scaling
- pymc.tuning.starting
- pymc.variational.approximations
- pymc.variational.inference
- pymc.variational.operators
- pymc.variational.opvi
- pymc.variational.stein
- pymc.variational.updates
- pytensor.tensor.basic
- pytensor.tensor.extra_ops
- pytensor.tensor.math
- pytensor.tensor.special