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Multi-model federation module for Bonsai/BlenderBIM. Preprocesses IFC files to SQLite spatial index for sub-second queries across 100K+ elements. Generic utility for coordination, clash detection, routing, and reporting workflows.
Multi-agent reinforcement learning research platform with Apple Silicon optimization. Develop intelligent agents for coordinated task completion using PPO and neural architectures.
Implementation of singleflight-cluster. With zk + consistenthash. Also has herd watch call prevention. Intended as an exercise, and example for future work
Corps Python is a proposed open-source software system currently being implemented to help developers create parallel and distributed applications, services and microservices that seamlessly operate in heterogeneous multi/hybrid clouds, at the edge, in on-premises data centers, on corporate PCs, etc - all at the same time.
Deep reinforcement learning system for coordinating autonomous drones in wildfire suppression. Custom NumPy-based Deep Q-Network achieves superior performance in emergency response simulation scenarios.
Corps Python is a proposed open-source software system currently being implemented to help developers create parallel and distributed applications, services and microservices that seamlessly operate in heterogeneous multi/hybrid clouds, at the edge, in on-premises data centers, on corporate PCs, etc - all at the same time.
Computes CShM (shape measures) and other geometric indices from crystallographic information files (CIFs), which may contain single or multiple entries, or from COD (Crystallography Open Database) entries.
Code and dataset for Martin et al's paper "Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction"
This repository contains code for the paper "Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning". https://arxiv.org/abs/2210.03022