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<h1 align="center">The Practical Guides for Large Language Models </h1>
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Explore
Find agent skills by outcome
20,019 skills indexed with the new KISS metadata standard.
Showing 24 of 20,019Categories: Coding, Data, General, Research
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Open LLMs
These LLMs (Large Language Models) are all licensed for commercial use (e.g., Apache 2.0, MIT, OpenRAIL-M). Contributions welcome!
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[🏠Home](README.md)
Due to projects like [Explore the LLMs](https://llm.extractum.io/) specializing in model indexing, the custom list has been removed.
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[🏠Home](README.md)
- Want to know which one is "the best"? Have a look at the [🏆 Leaderboards](llm-tools.md#benchmarking) in the Benchmarking section.
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[🏠Home](README.md)
Collection of all things "Data Science" leaning towards Marketing & Advertisement (Digital Marketers, Agencies, Web Designers and Web Analysts)
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[🏠Home](README.md)
<p align="left"><img src="https://github.com/potacho/power_bi_workshop/blob/master/images/logo.png"></p>
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[🏠Home](README.md)
- [ModelScope Text to video synthesis](https://huggingface.co/spaces/damo-vilab/modelscope-text-to-video-synthesis)
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<div align="center">
<h1>Awesome ML</h1>
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[🏠Home](README.md)
- [EnCodec](https://github.com/facebookresearch/encodec) SOTA deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio
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Content moved
- The model list moved [here](llm-model-list.md)
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[🏠Home](README.md)
text2image:
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[🏠Home](README.md)
**Important:**
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Contribution Guidelines
Please ensure your pull request adheres to the following guidelines:
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README.md.backup
.idea
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Awesome LLMOps
<a href="https://discord.gg/KqswhpVgdU"><img alt="discord invitation link" src="https://img.shields.io/discord/974584200327991326?style=flat&logo=discord&cacheSeconds=60"></a>
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Awesome-LLM [](https://awesome.re)
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Contribution Guidelines
To add, remove, or change things on this repository please submit a pull request that adheres to the following guidelines:
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.DS_Store
.history
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Creative Commons Legal Code
CC0 1.0 Universal
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Awesome AI Papers ⭐️
This repository is an up-to-date list of significant AI papers organized by publication date. It covers five fields : computer vision, natural language processing, audio processing, multimodal learning and reinforcement learning. Feel free to give this repository a star if you enjoy the work.
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Contribution Guidelines
- Use the following format: `[ProjectName](Link) - Description.`
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Generative AI Discoveries
Welcome to the Discoveries list, a special showcase of up-and-coming Generative AI projects. This collection celebrates the diversity and creativity within the Generative AI community. If you're looking for the main list, you can find it [here](README.md).
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Awesome Generative AI [](https://awesome.re)
> A curated list of modern Generative Artificial Intelligence projects and services.
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Archive of the Awesome Generative AI List [](https://awesome.re)
These projects are not active anymore in generative AI.
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