ActiveInferenceCategoryTheory

A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

Active Learning Awesome Paper

A curated list of awesome Category Theory resources.

PyTorch library for Active Fine-Tuning

Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.

Classify your e-commerce products into categories of well-known e-commerce platforms. It uses OpenAI embeddings and LangChain.

Homing Piegon is an inference framework implementing Variational Message Passing. It can be used to implement an Active Inference agent that performs planning using a Tree Search algorithm that can been seen as a form of Bayesian Model Expansion.

Official implementation of paper "A neural active inference model of perceptual-motor learning" published on Computational Neuroscience in 2023.