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.

I always look to deepen my understanding of machine learning! 📚🧠 "The Mathematical Engineering of Deep Learning" by Liquet, Moka and Nazarathy is available in the open!

💻 timbertrek: 162⭐ I never knew decision trees could be this fun to explore 🌳🤯

I was immediately hoooked on a title like this: 🤖✨ ”My class required AI. Here's what I've learned so far.” by Ethan Mollick.

You may just be able to level up your resume game with chatGPT! 📝🚀 Check out this step-by-step guide on Towards Data Science for using OpenAI and Python to supercharge your resume.

Are you struggling to communicate your machine learning results to non-experts? 🚀🤓 Check out my talk, where I share tips and tools to build trust and effectively communicate with stakeholders using Python.

I genuinely think multi-scale vision models can help with a lot of CV problems! 👀💡 Check out Dragonfly from Together AI.

I love seeing AI push the boundaries of ensemble weather forecasting 🌀🤖 Discover how Hierarchical Ensemble Transformers can improve medium-range ensemble weather predictions.

💻 git-truck: 419⭐ It’s always nice when I find a tool makes codebase exploration a breeze! 🚀✨

Want to unlock secrets with your words? 🗝️🧙‍♂️ Meet Gandalf on Lakera – a unique challenge to test your prompting skills and coax out hidden info.

💻 treehacks-2023: 27⭐ This innovative solution helps to mitigate overfishing and protect our oceans. 🐟🛰️🌊

💻 torchscale: 3 k ⭐ Scale your transformers with ease using Microsoft's TorchScale!🔥🤖💻

Check out my Tiktok where I explain complex machine learning concepts in just 60 seconds! 🤖🧠 Whether you're a beginner or an expert, my videos will give you a fresh perspective on this exciting field.

💻 thisnotthat: 151⭐ Ever get lost in data labels? 🧭✨

Want to get ahead in your early career? 👩‍💼🚀 Check out Celine Halioua's advice for early career professionals! 🌟📈

Can visualizing social inequality actually make it worse? 📊🤔 Nightingale's thought-provoking article explores the dangers of unfair comparisons and offers insights on how to represent data on social inequality in a more ethical and accurate way.