Results for tensorlogic

Tensor Logic: a named-index tensor language that unifies logic and tensor computation.

Logic-as-Tensor planning layer - meta crate re-exporting all TensorLogic components

TensorLogic command-line interface and library for compiling logical expressions to tensor graphs

Execution and autodiff traits for TensorLogic inference engines

SciRS2-powered tensor execution backend for TensorLogic

RDF/GraphQL/SHACL integration and provenance tracking for TensorLogic

Compiler for transforming logic expressions into tensor computation graphs

Probabilistic graphical model and message-passing interoperability for QuantRS2

Intermediate representation (IR) and AST types for TensorLogic

Transformer-as-rules: Self-attention and FFN layers as einsum expressions

Symbol tables, axis metadata, and domain masks for TensorLogic

Training loops, loss composition, and optimization schedules for TensorLogic

Zero-copy tensor operations and logic programming for content-addressed storage