Harness2 by Google Research – Recursive Agent Harnessing

Harness2 is a recursive agent harnessing framework developed by Google Research. It is an open-source project that aims to provide a flexible and scalable way to build and train recursive neural networks. The framework is designed to handle large-scale recursive neural networks, which are a type of neural network that can recursively apply the same model to its own output. This allows for the creation of complex models that can learn to reason about hierarchical structures and relationships. Harness2 is built on top of the TensorFlow framework and provides a simple and intuitive API for building and training recursive neural networks. The framework is designed to be highly customizable and allows users to easily implement their own recursive neural network architectures.