Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Text Mining with R: A Tidy Approach is a website for a guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools. It is written by Julia Silge and David Robinson and licensed under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States License.
An article by Cavin on Deep Markets discussing machine-generated content and creativity. It describes technology as leverage over creation: writing, the printing press, the internet, digital tools and machine learning. It also covers synthetic text from large language models such as OpenAI's GPT-3, published in summer 2020.
A personal notes site with writings on topics the author is thinking about, learning, and working on. It includes an upcoming entry about building Atlas, described as an AI tool for thought, and an archive of earlier posts.
Stanford MLSys Seminar Series is a seminar series on the frontier of machine learning and systems. Its 2025 "Hidden Layer" series schedule lists talks, and earlier limited series covered systems for machine learning and foundation models. Stanford students could sign up for associated classes, and an email list provides speaker and livestream notifications.
Architecture Helper is an AI-powered architecture design analysis tool. It can analyze building photos for styles, history and design details, and re-render a photo of a home or room in a chosen style. It also offers city architecture guides. The first analysis and the first restyle are free, with no account needed.
Lemonade Server is a lightweight, open-source local LLM server for running and managing multiple AI applications on a local machine. It provides a simple CLI for managing applications and supports various LLMs, and offers endpoints compatible with OpenAI, Ollama, Anthropic and others, plus a local-first API and MCP gateway.
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Text Mining with R: A Tidy Approach is a website for a guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools. It is written by Julia Silge and David Robinson and licensed under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States License.
An article by Cavin on Deep Markets discussing machine-generated content and creativity. It describes technology as leverage over creation: writing, the printing press, the internet, digital tools and machine learning. It also covers synthetic text from large language models such as OpenAI's GPT-3, published in summer 2020.
A personal notes site with writings on topics the author is thinking about, learning, and working on. It includes an upcoming entry about building Atlas, described as an AI tool for thought, and an archive of earlier posts.
Stanford MLSys Seminar Series is a seminar series on the frontier of machine learning and systems. Its 2025 "Hidden Layer" series schedule lists talks, and earlier limited series covered systems for machine learning and foundation models. Stanford students could sign up for associated classes, and an email list provides speaker and livestream notifications.
Architecture Helper is an AI-powered architecture design analysis tool. It can analyze building photos for styles, history and design details, and re-render a photo of a home or room in a chosen style. It also offers city architecture guides. The first analysis and the first restyle are free, with no account needed.
Lemonade Server is a lightweight, open-source local LLM server for running and managing multiple AI applications on a local machine. It provides a simple CLI for managing applications and supports various LLMs, and offers endpoints compatible with OpenAI, Ollama, Anthropic and others, plus a local-first API and MCP gateway.
