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Linking pages
- How I Used Stable Diffusion and Dreambooth to Create A Painted Portrait of My Dog - In this post, we walk through my entire workflow/process for bringing Stable Diffusion to life as a high-quality framed art print. We’ll touch on making art with Dreambooth, Stable Diffusion, Outpainting, Inpainting, Upscaling, preparing for print with Photoshop, and finally printing on fine-art paper with an Epson XP-15000 printer. https://www.shruggingface.com/blog/how-i-used-stable-diffusion-and-dreambooth-to-create-a-painted-portrait-of-my-dog 236 comments
- GitHub - a16z-infra/ai-town: A deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize. https://github.com/a16z-infra/ai-town 115 comments
- Generative AI’s Act Two | Sequoia Capital https://www.sequoiacap.com/article/generative-ai-act-two/ 106 comments
- Emerging Architectures for LLM Applications | Andreessen Horowitz https://a16z.com/2023/06/20/emerging-architectures-for-llm-applications/ 95 comments
- Please Stop Explaining Black Box Models for High Stakes Decisions – arXiv Vanity https://www.arxiv-vanity.com/papers/1811.10154/ 63 comments
- The Case for Learned Index Structures – arXiv Vanity https://www.arxiv-vanity.com/papers/1712.01208v1/ 61 comments
- GitHub - Dabble-Studio/3d-to-photo https://github.com/Dabble-Studio/3d-to-photo 54 comments
- GitHub - a16z-infra/companion-app: AI companions with memory: a lightweight stack to create and host your own AI companions https://github.com/a16z-infra/companion-app 49 comments
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- An Introduction to LiteStack for Ruby on Rails | AppSignal Blog https://blog.appsignal.com/2023/09/27/an-introduction-to-litestack-for-ruby-on-rails.html 39 comments
- GitHub - Nutlope/roomGPT: Upload a photo of your room to generate your dream room with AI. https://github.com/Nutlope/roomGPT 32 comments
- GitHub - Divide-By-0/ideas-for-projects-people-would-use: Every time I have an idea, I write it down. These are a collection of my top software ideas -- problems I think enough people have that don't have solutions. I expect you can reach a decent userbase if marketed correctly, as I am surely not the only one with these problems. https://github.com/divide-by-0/app-ideas-people-would-use 25 comments
- GitHub - threestudio-project/threestudio: A unified framework for 3D content generation. https://github.com/threestudio-project/threestudio 21 comments
- GitHub - replicate/cog: Containers for machine learning https://github.com/replicate/cog 15 comments
- The Fastest and Shortest Algorithm for All Well-Defined Problems – arXiv Vanity https://www.arxiv-vanity.com/papers/cs/0206022/ 14 comments
- How to make history with LLMs & other generative models https://leighmariebraswell.substack.com/p/how-to-make-history-with-llms-and 14 comments
- AI on Linux: A Collection of AI Models, LLMs and Chatbots for Linux https://linuxblog.io/ai-on-linux-a-collection-of-ai-models-llms-and-chatbots-for-linux/ 10 comments
- GitHub - shinework/photoshot https://github.com/shinework/photoshot/ 7 comments
- GitHub - a16z-infra/ai-getting-started: A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs https://github.com/a16z-infra/ai-getting-started 6 comments
- Zygote: A Differentiable Programming System to Bridge Machine Learning and Scientific Computing – arXiv Vanity https://www.arxiv-vanity.com/papers/1907.07587/ 5 comments
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