This project is designed to create unique, context-based responses to user queries using AI. The AI generates personalized answers based on its trained data and can respond to a wide range of user inputs.
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MIT License
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Support the dependencies of suleymanulas/superuser
Generate massive amounts of fake contextual data
Turn a function into an `http.Agent` instance
Matches strings against configurable strings, globs, regular expressions, and/or functions
Contains parsers and serializers for ASN.1 (currently BER only)
Extra assertions on top of node's assert module
Esprima-compatible implementation of the Mozilla JS Parser API
Higher-order functions and common patterns for asynchronous code
Minimal async jobs utility library, with streams support
AWS signing. Originally pulled from LearnBoost/knox, maintained as vendor in request, now a standalone module.
Signs and prepares requests using AWS Signature Version 4
Promise based HTTP client for the browser and node.js
Axios plugin that intercepts failed requests and retries them whenever posible.
Bridging the gap between buffers and typed arrays
Allows you to build compile-time libraries
various machine learning routines for node
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SuleymanUlas
28 contributions
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