Cleora.AI
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About
Cleora.AI is a machine learning tool designed to efficiently produce graph embeddings for large-scale data using fast, stable, and iterative random projections. It enables Data Science and Analytics teams to create high-quality embeddings without needing expensive hardware. Cleora can embed various data types, such as purchase events, page navigation data, and textual data, and boasts performance speeds that surpass similar tools by significant margins—200x faster than DeepWalk and 4x-8x faster than Pytorch-BigGraph. Cleora's embeddings are behavioral, allowing characterizations of entities based on their interaction history, facilitating applications in recommender systems, client segmentation, and predictive models. Cleora PRO offers additional features like automatic scaling and enhanced performance optimizations. Its open-source version is available on GitHub, with public recognition amongst industry leaders.
Platform
Features
• parallel processing for performance optimization
• deterministic starting vectors for entities
• supports embedding for various data types
• automatically detects graphs from databases
• handles large graphs efficiently
• 4x-8x faster than pytorch-biggraph
• 200x faster than deepwalk
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