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## deep-learning

- [JosefAlbers/whisper-turbo-mlx](https://github.com/JosefAlbers/whisper-turbo-mlx) - Blazing fast whisper turbo for ASR (speech-to-text) tasks
- [jina-ai/jina](https://github.com/jina-ai/jina) - ☁️ Build multimodal AI applications with cloud-native stack
- [jina-ai/serve](https://github.com/jina-ai/serve) - ☁️ Build multimodal AI applications with cloud-native stack
- [izuna385/Wikia-and-Wikipedia-EL-Dataset-Creator](https://github.com/izuna385/Wikia-and-Wikipedia-EL-Dataset-Creator) - You can create datasets from Wikia/Wikipedia that can be used for entity recognition and Entity Linking. Dumps for ja-wiki and VTuber-wiki are available!
- [mindee/doctr](https://github.com/mindee/doctr) - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
- [IBM/zshot](https://github.com/IBM/zshot) - Zero and Few shot named entity & relationships recognition
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- [revdotcom/reverb](https://github.com/revdotcom/reverb) - Open source inference code for Rev's model
- [gotenberg/gotenberg](https://github.com/gotenberg/gotenberg) - A developer-friendly API for converting numerous document formats into PDF files, and more!
- [jina-ai/jina](https://github.com/jina-ai/jina) - ☁️ Build multimodal AI applications with cloud-native stack
- [jina-ai/serve](https://github.com/jina-ai/serve) - ☁️ Build multimodal AI applications with cloud-native stack
- [n8n-io/n8n](https://github.com/n8n-io/n8n) - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
- [louislam/uptime-kuma](https://github.com/louislam/uptime-kuma) - A fancy self-hosted monitoring tool
- [Kong/kong](https://github.com/Kong/kong) - 🦍 The Cloud-Native API Gateway and AI Gateway.
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## framework

- [jina-ai/jina](https://github.com/jina-ai/jina) - ☁️ Build multimodal AI applications with cloud-native stack
- [jina-ai/serve](https://github.com/jina-ai/serve) - ☁️ Build multimodal AI applications with cloud-native stack

## frontend

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- [Shuffle/Shuffle](https://github.com/Shuffle/Shuffle) - Shuffle: A general purpose security automation platform. Our focus is on collaboration and resource sharing.
- [Avaiga/taipy](https://github.com/Avaiga/taipy) - Turns Data and AI algorithms into production-ready web applications in no time.
- [louislam/uptime-kuma](https://github.com/louislam/uptime-kuma) - A fancy self-hosted monitoring tool
- [fcakyon/craft-text-detector](https://github.com/fcakyon/craft-text-detector) - Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector
- [appbaseio/reactivesearch](https://github.com/appbaseio/reactivesearch) - Search UI components for React and Vue
- [davidberenstein1957/classy-classification](https://github.com/davidberenstein1957/classy-classification) - This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.
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## kubernetes

- [jina-ai/jina](https://github.com/jina-ai/jina) - ☁️ Build multimodal AI applications with cloud-native stack
- [jina-ai/serve](https://github.com/jina-ai/serve) - ☁️ Build multimodal AI applications with cloud-native stack
- [Kong/kong](https://github.com/Kong/kong) - 🦍 The Cloud-Native API Gateway and AI Gateway.

## learning
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- [ScrapeGraphAI/Scrapegraph-ai](https://github.com/ScrapeGraphAI/Scrapegraph-ai) - Python scraper based on AI
- [mlabonne/llm-course](https://github.com/mlabonne/llm-course) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
- [nateraw/openai-vision-api-for-videos](https://github.com/nateraw/openai-vision-api-for-videos) - Extract information, summarize, ask questions, and search videos using OpenAI's Vision API 🚀🎦
- [jina-ai/jina](https://github.com/jina-ai/jina) - ☁️ Build multimodal AI applications with cloud-native stack
- [jina-ai/serve](https://github.com/jina-ai/serve) - ☁️ Build multimodal AI applications with cloud-native stack
- [flairNLP/flair](https://github.com/flairNLP/flair) - A very simple framework for state-of-the-art Natural Language Processing (NLP)
- [explosion/spacy-stanza](https://github.com/explosion/spacy-stanza) - 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy
- [explosion/spacy-transformers](https://github.com/explosion/spacy-transformers) - 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
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