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magnitude - A fast, efficient universal vector embedding utility package.

  •    Python

A feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning models in a fast, efficient, and simple manner developed by Plasticity. It is primarily intended to be a simpler / faster alternative to Gensim, but can be used as a generic key-vector store for domains outside NLP. Vector space embedding models have become increasingly common in machine learning and traditionally have been popular for natural language processing applications. A fast, lightweight tool to consume these large vector space embedding models efficiently is lacking.

tolerant-php-parser - An early-stage PHP parser designed for IDE usage scenarios.

  •    PHP

This is an early-stage PHP parser designed, from the beginning, for IDE usage scenarios (see Design Goals for more details). There is still a ton of work to be done, so at this point, this repo mostly serves as an experiment and the start of a conversation.After you've configured your machine, you can use the parser to generate and work with the Abstract Syntax Tree (AST) via a friendly API.






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