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📝 Description: Focus on prompting and generating

🔗 Repository URL: https://github.com/lllyasviel/Fooocus

📖 Readme: https://github.com/lllyasviel/Fooocus#readme

📊 Statistics:
🌟 Stars: 46.1K stars
👀 Watchers: 374
🍴 Forks: 7.4K forks

💻 Programming Languages: Python - JavaScript

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📝 Description: SoTA open-source TTS

🔗 Repository URL: https://github.com/resemble-ai/chatterbox

🌐 Website: https://resemble-ai.github.io/chatterbox_demopage/

📖 Readme: https://github.com/resemble-ai/chatterbox#readme

📊 Statistics:
🌟 Stars: 10.8K stars
👀 Watchers: 82
🍴 Forks: 1.4K forks

💻 Programming Languages: Python

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📝 Description: The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

🔗 Repository URL: https://github.com/ashishpatel26/500-AI-Agents-Projects

🌐 Website: https://github.com/ashishpatel26/500-AI-Agents-Projects

📖 Readme: https://github.com/ashishpatel26/500-AI-Agents-Projects#readme

📊 Statistics:
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👀 Watchers: 105
🍴 Forks: 1.3K forks

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📝 Description: 🧠 Cognitive Load is what matters

🔗 Repository URL: https://github.com/zakirullin/cognitive-load

📖 Readme: https://github.com/zakirullin/cognitive-load#readme

📊 Statistics:
🌟 Stars: 9.4K stars
👀 Watchers: 86
🍴 Forks: 200 forks

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🔥 Trending Repository: abogen

📝 Description: Generate audiobooks from EPUBs, PDFs and text with synchronized captions.

🔗 Repository URL: https://github.com/denizsafak/abogen

🌐 Website: https://pypi.org/project/abogen/

📖 Readme: https://github.com/denizsafak/abogen#readme

📊 Statistics:
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👀 Watchers: 18
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💻 Programming Languages: Python - Batchfile - Dockerfile

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🔥 Trending Repository: ML-From-Scratch

📝 Description: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

🔗 Repository URL: https://github.com/eriklindernoren/ML-From-Scratch

📖 Readme: https://github.com/eriklindernoren/ML-From-Scratch#readme

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