A Compact Library for Predictive Coding with PyTorch
Project description
About
Pyromancy is a compact library for predictive coding, implemented using PyTorch. It takes a minimal approach, providing the core components for building and training predictive coding networks.
Installation
Pyromancy is available as a package on PyPI and can be installed as follows.
pip install pyromancy-ai
By default, this installs the torch and torchvision packages with only CPU support (Linux/Windows) or support for CPU and MPS (macOS). To include support for CUDA or ROCm, a corresponding extra-index-url must be specified.
pip install pyromancy-ai --extra-index-url https://download.pytorch.org/whl/cu128
Installing with this command includes support for CPU and for CUDA 12.8. The installation options can be found on PyTorch's getting started page.
Getting Started
See the example, Classifying MNIST with a Hierarchical PCN, for a complete worked-out example of how to build and train a predictive coding network.
License
Pyromancy is distributed under the terms of the BSD-3-Clause license.
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