Search Results for "stable-diffusion-webui"
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Showing 6 open source projects for "stable-diffusion-webui"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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Apertium: Machine Translation Toolbox
The free and open-source rule-based machine translation platform
Apertium is a toolbox to build open-source shallow-transfer machine translation systems, especially suitable for related language pairs: it includes the engine, maintenance tools, and open linguistic data for several language pairs. -
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srt-translator
Subtitle translator from one natural language to other.
Translating subtitles in format SubRip from one natural language to other. It is based on Google Translate without API and therefore without payment. Translator have automatic and manual spell checkers. -
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A project that aims to create reusable components (C++ libraries, COM components, and Edit controls) for Phonetic Transliteration of Indian languages, such as Telugu, Tamil, Kannada etc.
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Web site to translate text from Spanish to a regular Spanish called "espanes". This lenguage adaptation is very useful for learning Spanish because ia a simplified version with less verbal modes, accents enhanced, prefix, infix and suffix reduced....
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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AzConvert is an open source program to convert different scripts of Azerbaijani language (Latin, Arabic and Cyrillic) to each other. It's written in Qt.
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Want to count the number of syllables in a word? Want to create a random haiku? This Java application can do both. Just add the JAR file to your project for access to these basic classes. We use CMU's pronunciation dictionary to count each syllable.
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