Search Results for "ollama-windows-amd64"
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Showing 7 open source projects for "ollama-windows-amd64"
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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body-parser
Node.js body parsing middleware
Node.js body parsing middleware. Parse incoming request bodies in a middleware before your handlers, available under the req.body property. As req.body's shape is based on user-controlled input, all properties and values in this object are untrusted and should be validated before trusting. For example, req.body.foo.toString() may fail in multiple ways, for example the foo property may not be there or may not be a string, and toString may not be a function and instead a string or other user... -
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React-Native-Parsed-Text
Parse text and make them into multiple React Native Text elements
react-native-parsed-text is a React Native component that enables parsing and styling of substrings within a text block. It allows developers to identify patterns like URLs, phone numbers, or emails and apply custom styles or actions to them. -
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Nearley
Simple, fast, powerful parser toolkit for JavaScript
Nearley is a powerful and flexible parser generator for JavaScript, capable of parsing complex grammars and languages, making it suitable for building compilers, interpreters, and data processors. -
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Marid
Free data acquisition and data visualization cross-platform software
Marid is a cross-platform data acquisition and visualization software intended to build complex and hierarchical data acquisition systems. The base concepts of its architecture include: * Graphical deploy configuration builders * Powerful Groovy scripting language * Embedded database ( H2 , HSQLDB) to store data * Cross-platform design (write once, run anywhere) * Embedded GUI-configurable binary/ascii device protocol parser/generator * Deploy manager to deploy firmwares to remote... -
Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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PEG.js
PEG.js is a parser generator for JavaScript
PEG.js is a simple parser generator for JavaScript that produces fast parsers with excellent error reporting. You can use it to process complex data or computer languages and build transformers, interpreters, compilers and other tools easily. PEG.js is still very much work in progress. There are no compatibility guarantees until version 1.0. Based on parsing expression grammar formalism, more powerful than traditional LL(k) and LR(k) parsers. Usable from your browser, from the command line,... -
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JS/CC LALR(1) Parser Generator
A LALR(1) Parser Generator for JavaScript written in JavaScript
JS/CC is a parser generator for JavaScript/ECMAScript, which is entirely written in ECMAScript itself. It produces LALR(1) parsers with integrated lexical analyzers. JS/CC can run as a website or be invoked from a console, and runs on several platforms. -
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Waxeye is a parser generator based on parsing expression grammars (PEGs). It supports C, Java, Javascript, Python, Ruby and Scheme.
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