💻 textual: 34.9 k ⭐ I wanted a quick UI for a Python tool but didn't want to learn Qt or ship an Electron app. Textual let me build it in the terminal.

💻 pydantic: 27.2 k ⭐ I used to write manual validation for every dict that came from an API or config file. Pydantic made me wonder why I ever did that.

💻 timbertrek: 169⭐ Interpretable ML meets interactive visualization, and it works in a browser.

I counted and apparently I wrote nine books. That surprised me too. They span ML Recipes, a Stable Diffusion Lookbook, 70 years of ML in geoscience, a data science guide, ChatGPT for creators, and a resume guide for data jobs. Some are free, some are on Skillshare.

I needed a space for ML conversations that isn't a shouting match. The Latent Space is a small, inclusive Discord for ML practitioners, makers, and creators. We talk about the normal stuff below the hype -- tooling, papers, career questions, creative projects.

💻 magic-wormhole: 22.3 k ⭐ I needed to send a file to another machine without thinking about it.

💻 pre-commit: 15 k ⭐ Every codebase I've inherited had broken or missing git hooks. pre-commit fixed that across all of them with one config file.

Two years of weekly ML newsletters and still zero sponsorships. That's a feature, not a bug. Late to the Party covers real-world ML, data science, and Python -- tools, papers, and repos I actually use. No affiliate links, no paid placements, just curation.

I’m often concerned about how generative AI impacts gender equality ⚖️👩‍💼 Especially so after this insightful read: "Patriarchal AI: How ChatGPT can harm a woman’s career" by Ruhi Khan.

I always strive to improve my public speaking skills! 🎤🌟 Check out "How to Make a Great Conference Talk" by Sebastian Witowski.

I love being a largely self-taught programmer! 🛤️💻 But it can be a bit lonely and uncertain on what to learn next.

I’m amazed by how tech tailors forecasts to where we live 🌍📡 Check out Met Norway’s Regional Data-Driven Weather Modeling with a Global Stretched-Grid!

I look around on LinkedIn and people want AI to do all the hard work! 😅🤖 Here’s a great read on Stack Overflow on why Generative AI can't replace human engineering teams by Charity Majors.

💻 grafog: 132⭐ Supercharge your graph data 📊🔍

Stay updated on the latest machine learning, data science, and Python trends in geophysics? 🌍🧑‍🔬 Join my newsletter and receive curated links to projects, data stories, job interview tips, personal updates, and more every Friday!

Coding with AI agents hast shown me that we're fine in the AI Apocalypse. "I destroyed all of humanity (in these three examples and will pretend it's 100% and gaslight you that you misunderstood me)"

I love a good brain teaser, especially when it sharpens my coding skills! 🧩🤓 Deep Learning Puzzles, crafted by the great minds at deep-ml offers a unique way to learn ML fundamentals.

💻 the-incredible-pytorch: 11.9 k ⭐ I love finding curated resources for my Pytorch projects! 📚✨

💻 caption-upsampling: 153⭐ I love seeing interesting AI concepts in the gen AI mess! 🤖✨

I enjoy thought-provoking takes on AI! 🤔✨ Check out "Generative AI is Boring" by Jacob Browning.

Unleash your creativity and learn how to create stunning digital art in seconds with the latest AI technology! 🎨🤖 This Skillshare class teaches you how to use Stable Diffusion "AI" and prompt engineering to make engaging artwork without any prior knowledge of AI or coding.

I'm all about AI transparency and accountability! 🔍🤖 Visit "Opening up ChatGPT" by Andreas Liesenfeld, Alianda Lopez, and Mark Dingemanse.

Let’s go and dive into the world of data science and machine learning 🎥🍿 Look no further than my Youtube channel!

Ever wondered what convolution is all about? 🤔📐 Check out 3Blue1Brown's YouTube video to learn about this fundamental concept in math and signal processing.

Whenever I’m coding in Python, having a good cheatsheet handy is a lifesaver! 🐍🛠️ Check out this Comprehensive Python Cheatsheet by Jure Šorn,

I genuinely loved this read about GitHub code search! 💻 Read "The technology behind GitHub’s new code search." on their blog!

💻 nicegui: 12.8 k ⭐ Remember the days when making web interfaces was difficult?! 🌐🐍

Wondering how your weather app got so smart? 🌦️🤖 Dive into insights from ECMWF on the revolutionary role of AI and machine learning in weather forecasting.

I’m always eager to expand my ML skills! 📈🎓 Check out the Sklearn MOOC directly from the Scikit-learn devs.

I made a free website for reproducible ML! 📚💻 Check out ml.recipes! 🧪

Dive into the world of deep learning with Simon J.D. Prince's comprehensive guide. 🤖🧠 From the basics of artificial neural networks to advanced topics like convolutional and recurrent neural networks, Understanding Deep Learning has everything you need to master this cutting-edge field.

💻 openai-cookbook: 65 k ⭐ I love a good AI cookbook! 🤖📚

💻 candle: 17.5 k ⭐ I know Rust’s a bit hype-y, but this light-weight ML framework is interesting! 🔥🦀

I love these “from scratch” projects 🤖 Even more so if it’s by experts like Sebastian Raschka.

I love seeing how far tech has come in shaping our world 🌍📖 Check out 70 Years of Machine Learning in Geoscience in Review!

💻 pynimate: 358⭐ I love bringing data to life with animations! 📊🎥

Can we really trust AI predictions?! 🔮🧪 Our new paper in Nature Geoscience tackles this crucial question, when lives are at stake.

I so appreciate LLM resources that cut through the hype! 📚🚫 Here’s the "Anti-hype LLM Reading List" by Vicki Boykis.

I love when people put in thought to proper AI benchmarks! ⛅🤖 And of course, when AI meets weather forecasting!

💻 distil-whisper: 3.8 k ⭐ I remember when you had to pay hundreds for speech recognition software! 🎙️🚀

Weather forecasts getting uncannily accurate? 🌦️🤖 ECMWF showcases how AI models are revolutionizing weather predictions with data-driven systems.

Want to get the recognition you deserve at work? 🚀📝 Check out "Get Your Work Recognized: Write a Brag Document" by Julia Evans a guide to creating a record of your achievements and contributions! 📄💻

Ready to learn from failure? 🤖👨‍🏫 Join me at PyData as I share insights on failed machine learning models from real-world examples in science and industry.

💻 ruff: 40.2 k ⭐ Tired of slow linting in Python projects? ⏱️🐍

💻 GNNs-Recipe: 1.2 k ⭐ Cook up some powerful knowledge about Graph Neural Networks 🍳🧑‍🍳

💻 machine-learning-notes: 817⭐ I love finding handy ML resources! 🤓📘

💻 The-Little-Book-of-ML-Metrics: 945⭐ I finally found the cheat sheet every data scientist should have! 📊📖

Discover the key to unlocking impactful scientific contributions in the world of machine learning! 🤖📈 This tutorial aims to increase the quality of scientific contributions using reproducible methods, appropriate validation techniques, and better code quality. 🧪

I don’t know about the AI research assistant, but a personalised podcast? 🤓📝 Google created NotebookLM, an AI-powered note-taking and research tool that turns your notes into a smart study guide, including podcasts!

Learn the secrets of Data Science and Machine Learning with these books! 📚🤖💡 From crafting great resume points to reviewing 70 years of machine learning in geoscience, there's something for everyone.