SymTorch
What it is
SymTorch is a library that approximates the behavior of deep learning model components using symbolic equations. It leverages symbolic regression (via PySR) to provide interpretable mathematical representations of neural networks.
The problem it solves
The lack of interpretability in deep neural networks, which are often difficult to understand and explain.
What you could use it for
- Approximating complex neural network components with interpretable symbolic equations
- Model interpretability and distillation
- Extracting human-readable mathematical formulas from deep learning models
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.