cirkit 0.3.0 (reckoning)
Due by February 21, 2025
45% complete
The main objective of this release is improving and adding inference routines, such as conditional sampling and MAP, and add conditional circuit. Moreover, we aim at implementing circuit templates as to represent a set of (hierarchical) tensor factorizations.
Features:
- implement MAP inference in monotonic circuits
- refactor sampling, and support condition…
The main objective of this release is improving and adding inference routines, such as conditional sampling and MAP, and add conditional circuit. Moreover, we aim at implementing circuit templates as to represent a set of (hierarchical) tensor factorizations.
Features:
- implement MAP inference in monotonic circuits
- refactor sampling, and support conditional sampling
- implement conditional circuits
- dynamic compilation rules
- support copy.deepcopy
- save/load to disk
- implement tensor factorization templates
Fixes:
- replace the concept of channels with variables