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inpymc-devs/symbolic-pymc (press backspace or delete to remove)Per discussion with @RandallBalestriero, add logical-unification and cons support for symjax (i.e. networkx.DiGraph)
graphs.
important
brandonwillard
- Opened on Jun 24, 2020
- #111
We can create a function that constructs a RandomVariable class for a given PyMC3 Distribution class. The basic
requirements are
1. that #109 be in place and log_lik = Distribution.logp(out_var),
2. ...
enhancement
pymc3
- 2
- Opened on Jun 6, 2020
- #110
~In RandomVariable.make_node, return theano.gof.Apply(self, inputs, (rng.type(), out_var, log_lik)) mdash;where log_lik
is a graph of the log-likelihood for the given RV. This addition will allow RandomVariables ...
enhancement
pymc3
- Opened on Jun 6, 2020
- #109
Let s make some simple examples showing how symbolic-pymc can be used to convert a manually constructed model mdash;or
components thereof mdash;into its corresponding PyMC3 distribution class.
For example, ...
miniKanren
Theano
- Opened on Mar 13, 2020
- #104
We need a documentation section that illustrates how to debug kanren goals and meta object unification (i.e.
kanren.core.dbgo, and unification.debug_unify), as well as how to inspect graphs (i.e. theano.printing.debugprint ...
documentation
important
- Opened on Mar 3, 2020
- #102
MetaSymbol.reify is still pretty stack-driven, which is bad for scaling toward larger graphs, so we should consider
implementing a trampolined approach (e.g like etuples and unification).
enhancement
important
meta graph
- Opened on Mar 2, 2020
- #101
An issue arises when reifying meta tensors that are intended to be new to a TF graph, because a tensor with an
unspecified name value is currently set mdash;by default mdash;to its OpDefs name. This issue ...
enhancement
important
meta graph
TensorFlow
- 2
- Opened on Dec 3, 2019
- #93
In some instances, we automatically create logic variables as stand-ins for unspecified meta object components (e.g.
#35, TFlowMetaOp.outputs); following #84, we should always produce properly typed generic ...
bug
enhancement
important
meta graph
- Opened on Oct 30, 2019
- #87
The commutative and associative miniKanren relations/goals (i.e. eq_comm, eq_assoc and eq_assoccomm) provided by kanren
don t map well to TensorFlow objects. These goals use the operator and arguments ...
enhancement
miniKanren
question
TensorFlow
- 1
- Opened on Oct 30, 2019
- #86
It might be worth investigating a way to partially specify the NodeDef.attr dict, especially since complete
removal/reassignment causes problems for constants (the Numpy constant value is held in that ...
enhancement
meta graph
TensorFlow
- Opened on Oct 28, 2019
- #84
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