Abstract: This paper presents a scalable and interpretable recommender system architecture that uses a property graph model implemented in Neo4j to generate personalized product recommendations. By ...
Abstract: Many robotics applications benefit from being able to compute multiple geodesic paths in a given configuration space. Existing paradigm is to use topological path planning, which can compute ...
Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: kmer: Produces a k-mer hash containing ...
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