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Showing 2 open source projects for "template"

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Parser Generators Python Clear Filters & Widen Search

Connect with customers in one app
Businesses of all sizes seeking an AI-enhanced, all-in-one communication platform to unify voice, video, and messaging for improved team collaboration

Dialpad Connect is an AI-powered unified communications platform that combines voice, video, and messaging to enhance team collaboration and customer interactions. It features real-time call transcription, automated call summaries, and AI-generated action items to help users stay focused during conversations. The platform integrates seamlessly with popular business apps like Salesforce, Zendesk, Microsoft Teams, and Google Workspace to streamline workflows. Designed for businesses of all sizes, Dialpad Connect delivers enterprise-grade reliability with 100% uptime SLA and robust disaster recovery. Security and privacy are core priorities, meeting standards like GDPR, HIPAA, and SOC 2 compliance. Dialpad Connect helps companies elevate customer experiences while boosting team productivity.

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Junie, the AI coding agent by JetBrains
Your smart coding agent

Junie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time.

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1

Chatette

A powerful dataset generator for Rasa NLU, inspired by Chatito

Chatette is a Python-based tool for generating training datasets for Natural Language Understanding (NLU) models, particularly those used with Rasa NLU. It employs a domain-specific language to define templates, enabling the creation of diverse and extensive training examples for intent classification and entity recognition.

Downloads: 0 This Week

Last Update: 2025-04-28
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2

UniCC LALR(1) Parser Generator

Parser generator, targetting C, C++, Python, JavaScript, JSON and XML

UniCC (UNIversal Compiler-Compiler) compiles an augmented grammar definition into a program source code that parses the described grammar. Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML.

Downloads: 1 This Week

Last Update: 2019-08-01
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