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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.
A multi-language port of Browserscope's user agent parser
ua-parser is a multi-language library for parsing User-Agent strings into structured data, such as browser, OS, and device information. Originally created for web analytics and user tracking, it supports a wide range of platforms and is available in JavaScript, Python, Java, and other languages. ua-parser is often used in server logs, analytics dashboards, and A/B testing systems to segment traffic.
Discover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.