Analytic tableau based minimal model generator, model checker and theorem prover for first-order logic with modal extensions
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Updated
Nov 28, 2024 - Python
Analytic tableau based minimal model generator, model checker and theorem prover for first-order logic with modal extensions
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.
TorchArc: Build PyTorch models by specifying architectures.
Rapidly prototype TensorFlow and PyTorch models using VGSL (Variable-size Graph Specification Language) and convert them back to VGSL spec.
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