ObjectGraphs
Using Objects and a Graph Convolutional Network for the Bottom-up Recognition and Explanation of Events in Video
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Using Objects and a Graph Convolutional Network for the Bottom-up Recognition and Explanation of Events in Video
A neurosymbolic framework that supports querying, learning and reasoning with both rich data and rich abstract knowledge about the world
The Relational Neural Machines framework is a generakl neuro-symbolic methodology to inject logic knowledge into a machine learner.
A Python library that integrates machine learning with constraint optimization using the AI Domain Definition Language.
The library includes functionalities to apply reinforcement learning to industrial machines tuning
While reinforcement learning algorithms converge towards a single policy, it may be useful to generate multiple policies instead of just one.
The all-in-one toolkit for multi-agent experiments on emergent communication