I share non-hype ML & AI with 8+ years XP
🌦 Machine Learning at ECMWF
💾 Fellow at SSI
You miss 99% of benchmarks you don't overfit on!
🏳️🌈 they
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.
I love a good brain teaser, especially when it sharpens my coding skills! 🧩🤓
These puzzles blend fun challenges with practical deep learning concepts, making it easier to grasp complex topics while keeping you engaged. Perfect for both beginners and seasoned experts!
💻 the-incredible-pytorch: 11.9 k ⭐
I love finding curated resources for my Pytorch projects! 📚✨
💻 the-incredible-pytorch: 11.9 k ⭐
Check out "The Incredible Pytorch" by Ritchie Ng.
This repository is a treasure trove of PyTorch tutorials and projects, perfect for deepening your knowledge and skills in PyTorch. 🚀🔧
💻 caption-upsampling: 153⭐
I love seeing interesting AI concepts in the gen AI mess! 🤖✨
💻 caption-upsampling: 153⭐
Check out "caption-upsampling" by @sayakpaul.
This repository showcases the concept of "caption upsampling" from DALL-E 3 using Zephyr-7B, along with results gathered using SDXL. It's a fascinating project for anyone interested in advanced AI and image generation! 📈🎨
I enjoy thought-provoking takes on AI! 🤔✨
Check out "Generative AI is Boring" by Jacob Browning.
I enjoy thought-provoking takes on AI! 🤔✨
This article explores the limitations and repetitive nature of generative AI, offering a fresh perspective on its creative potential. A must-read for anyone curious about the future of AI! 🔍📖
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.
Unleash your creativity and learn how to create stunning digital art in seconds with the latest AI technology! 🎨🤖
Enroll now and discover the future of art creation!
I'm all about AI transparency and accountability! 🔍🤖
Visit "Opening up ChatGPT" by Andreas Liesenfeld, Alianda Lopez, and Mark Dingemanse.
I'm all about AI transparency and accountability! 🔍🤖
This site tracks the openness, transparency, and accountability of large language models and reinforcement learning from human feedback (RLHF). It's essential for anyone interested in ethical AI development and usage! 📚✨
Let’s go and dive into the world of data science and machine learning 🎥🍿
Look no further than my Youtube channel!
Let’s go and dive into the world of data science and machine learning 🎥🍿
With informative and engaging content, you'll learn the latest techniques and applications in these exciting fields.
From beginner to expert, there's something for everyone. So grab your popcorn and subscribe today!
Ever wondered what convolution is all about? 🤔📐
Check out 3Blue1Brown's YouTube video to learn about this fundamental concept in math and signal processing.
Ever wondered what convolution is all about? 🤔📐
Discover how it is used to transform signals and images, and how it plays a crucial role in deep learning and computer vision.
Whenever I’m coding in Python, having a good cheatsheet handy is a lifesaver! 🐍🛠️
Check out this Comprehensive Python Cheatsheet by Jure Šorn,
Whenever I’m coding in Python, having a good cheatsheet handy is a lifesaver! 🐍🛠️
It’s a goldmine of Python tips, tricks, and code snippets, whether you’re a beginner or a seasoned developer, this resource covers everything from basic lists and tuples to advanced concepts, making it an essential tool for any Pythonista!
I genuinely loved this read about GitHub code search! 💻
Read "The technology behind GitHub’s new code search." on their blog!
I genuinely loved this read about GitHub code search! 💻
Explore the advanced features that enhance your coding experience, making it faster and more intuitive to find what you need!
💻 nicegui: 12.8 k ⭐
Remember the days when making web interfaces was difficult?! 🌐🐍
💻 nicegui: 12.8 k ⭐
Here’s a cool project by Zauberzeug called “NiceGUI".
This project lets you create web-based user interfaces with Python in a very nice way. It's perfect for developers who want to build sleek and functional UIs without the hassle. 🚀🖥️
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.
Wondering how your weather app got so smart? 🌦️🤖
We unveil how AI is transforming our ability to predict the weather with unprecedented accuracy, making everyday planning and major weather preparations possibly more reliable than ever.
Can we stay ahead of the storm with the power of AI?!
I’m always eager to expand my ML skills! 📈🎓
Check out the Sklearn MOOC directly from the Scikit-learn devs.
I’m always eager to expand my ML skills! 📈🎓
This course offers in-depth lessons on machine learning with Python and scikit-learn, perfect for both beginners and experienced practitioners. It's a fantastic way to enhance your ML expertise! 🐍🔍
I made a free website for reproducible ML! 📚💻
Check out
ml.recipes! 🧪
I made a free website for reproducible ML! 📚💻
This collection of "easy wins" and easy-to-use recipes focuses on basics that work and gets you 90% of the way to top-tier reproducibility.
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.
Dive into the world of deep learning with Simon J.D. Prince's comprehensive guide. 🤖🧠
💻 openai-cookbook: 65 k ⭐
I love a good AI cookbook! 🤖📚
💻 openai-cookbook: 65 k ⭐
Check out "openai-cookbook" directly from OpenAI.
This repository offers a wealth of examples and guides for using the OpenAI API, making it easier to integrate AI into your projects. It's a goldmine for developers looking to harness the power of OpenAI! 🚀🔧
💻 candle: 17.5 k ⭐
I know Rust’s a bit hype-y, but this light-weight ML framework is interesting! 🔥🦀
💻 candle: 17.5 k ⭐
Check out "candle" by huggingface.
This minimalist machine learning framework for Rust simplifies building and deploying models. It's perfect for developers seeking efficient, high-performance ML solutions in Rust! 🚀📚
I love these “from scratch” projects 🤖
Even more so if it’s by experts like Sebastian Raschka.
I love these “from scratch” projects 🤖
Have a look at the "Build a Large Language Model (From Scratch)" book.
This comprehensive guide teaches you to build an AI model step-by-step. Perfect for anyone looking to dive deep into machine learning!
I love seeing how far tech has come in shaping our world 🌍📖
Check out 70 Years of Machine Learning in Geoscience in Review!
I love seeing how far tech has come in shaping our world 🌍📖
This deep dive explores the evolution of AI in understanding Earth systems, with a special focus on geophysics, and its transformative impact.
💻 pynimate: 358⭐
I love bringing data to life with animations! 📊🎥
💻 pynimate: 358⭐
Try out "pynimate" by Md Julkaarnaeen.
This Python package allows you to create pretty neat statistical data animations effortlessly. It's a fantastic tool for anyone looking to visualize their data dynamically! 🚀📈
(Gif is taken from their examples.)
Can we really trust AI predictions?! 🔮🧪
Our new paper in Nature Geoscience tackles this crucial question, when lives are at stake.
Can we really trust AI predictions?! 🔮🧪
We found that while AI is revolutionising Earth sciences, only 6% of research incorporates explainable AI (XAI) - the technology that makes AI's predictions transparent to scientists and readers.
Despite all these benefits:
🔍 Understanding AI's decision-making
🎯 Finding & fixing model issues
⚖️ Meeting regulations
But here's the exciting part: XAI isn't just about making AI transparent - it's about building trust in life-saving predictions and truly enabling the technology to inform decisions.
I so appreciate LLM resources that cut through the hype! 📚🚫
Here’s the "Anti-hype LLM Reading List" by Vicki Boykis.
I so appreciate LLM resources that cut through the hype! 📚🚫
This curated list offers insightful reads that provide a balanced perspective on large language models. Perfect for anyone looking to understand the real capabilities and limitations of LLMs! 🔍🤓
I love when people put in thought to proper AI benchmarks! ⛅🤖
And of course, when AI meets weather forecasting!
I love when people put in thought to proper AI benchmarks! ⛅🤖
Check out the WeatherBench 2.
This benchmark dataset is designed for evaluating the performance of data-driven weather forecasting models. It's a fantastic resource for researchers and developers aiming to innovate in meteorology! 🌦️📊
💻 distil-whisper: 3.8 k ⭐
I remember when you had to pay hundreds for speech recognition software! 🎙️🚀
💻 distil-whisper: 3.8 k ⭐
Gone are the days with Huffingface’s distil-whisper.
This project offers a distilled variant of OpenAI’s Whisper, making speech recognition 6x faster and 50% smaller while maintaining high accuracy. It's a game-changer for developers and content creators working with speech-to-text applications! 🗣️📉
Weather forecasts getting uncannily accurate? 🌦️🤖
ECMWF showcases how AI models are revolutionizing weather predictions with data-driven systems.
Weather forecasts getting uncannily accurate? 🌦️🤖
Analyse these models in the known ECMWF charts with the tools you know. From Nvidia FourCastNet to Google Deepmind Graphcast they’re all there for our viewing pleasure!
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! 📄💻
Want to get the recognition you deserve at work? 🚀📝
Discover tips and strategies for documenting your successes, building your personal brand, and advocating for yourself effectively, and learn how to showcase your skills and expertise in a way that resonates with your managers and colleagues.
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.
Ready to learn from failure? 🤖👨🏫
Let's avoid common pitfalls and maybe even achieve success!
💻 ruff: 40.2 k ⭐
Tired of slow linting in Python projects? ⏱️🐍
💻 ruff: 40.2 k ⭐
Meet ruff by charliermarsh, an ultra-fast Python linter that's shaking up coding workflows.
Built in Rust, ruff offers lightning-fast performance, making it a game-changer for developers seeking efficiency without compromising on thoroughness. Say goodbye to long waits and hello to more coding!
💻 GNNs-Recipe: 1.2 k ⭐
Cook up some powerful knowledge about Graph Neural Networks 🍳🧑🍳
💻 GNNs-Recipe: 1.2 k ⭐
A comprehensive recipe for studying and applying GNNs.
🚀🤖 This recipe provides a step-by-step guide to understanding the fundamentals of GNNs, implementing them in Python, and applying them to a variety of real-world problems, including recommendation systems, knowledge graphs, and social network analysis. Perfect for data scientists, machine learning practitioners, and anyone interested in GNNs and graph analytics.
💻 machine-learning-notes: 817⭐
I love finding handy ML resources! 🤓📘
💻 machine-learning-notes: 817⭐
Here are Sebastian Raschka’s Machine Learning Notes – Collection of useful machine learning codes and snippets.
This repository is packed with valuable machine learning code snippets and insights, perfect for both beginners and seasoned practitioners. It's a treasure trove for anyone working on ML projects! 🚀📊
💻 The-Little-Book-of-ML-Metrics: 945⭐
I finally found the cheat sheet every data scientist should have! 📊📖
💻 The-Little-Book-of-ML-Metrics: 945⭐
NannyML's The Little Book of ML Metrics is a nice reminder for anyone serious about machine learning.
It breaks down key evaluation metrics, helping you truly understand how well your model is doing and avoid common pitfalls. An essential guide for mastering ML!
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. 🧪
Discover the key to unlocking impactful scientific contributions in the world of machine learning! 🤖📈
Making models and data available increases the visibility of work and enables easier collaboration on future work.
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!
I don’t know about the AI research assistant, but a personalised podcast? 🤓📝
The true learning comes from taking the notes yourself, but then you can ask questions, get summaries, and connect ideas effortlessly—all from your existing notes! Quite interesting!
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.
Learn the secrets of Data Science and Machine Learning with these books! 📚🤖💡
Don't miss out on the ML Recipes, Stable Diffusion Lookbook, and more!
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!
I always look to deepen my understanding of machine learning! 📚🧠
This book provides a thorough exploration of the mathematical foundations behind deep learning, making complex concepts accessible. Perfect for anyone wanting to master the intricacies of AI! 🔍🤖
💻 timbertrek: 162⭐
I never knew decision trees could be this fun to explore 🌳🤯
💻 timbertrek: 162⭐
Shoutout to Jay Wang for TimberTrek, a tool that lets you dive into over 1,000 decision trees right in your browser.
It's perfect for comparing and understanding complex models visually. No installs needed—just click, explore, and learn!
h/t Khuyen Tran
I was immediately hoooked on a title like this: 🤖✨
”My class required AI. Here's what I've learned so far.” by Ethan Mollick.
I was immediately hoooked on a title like this: 🤖✨
It’s an interesting exploration of how we can teach responsible use of ChatGPT and other LLMs in the classroom. (Where it probably already is used…)
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.
You may just be able to level up your resume game with chatGPT! 📝🚀
This guide walks you through enhancing your resume with AI, making your experience and skills shine. Perfect for giving your career a tech-savvy edge!
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.
Are you struggling to communicate your machine learning results to non-experts? 🚀🤓
I genuinely think multi-scale vision models can help with a lot of CV problems! 👀💡
Check out Dragonfly from Together AI.
I genuinely think multi-scale vision models can help with a lot of CV problems! 👀💡
This vision-language model can zoom in and out with multiple resolutions, giving you detailed insights at every level. It's like seeing the big picture and the fine print all at once! 🦋
I love seeing AI push the boundaries of ensemble weather forecasting 🌀🤖
Discover how Hierarchical Ensemble Transformers can improve medium-range ensemble weather predictions.
I love seeing AI push the boundaries of ensemble weather forecasting 🌀🤖
This innovative approach boosts the skill by using the members of a forecast itself to calculate how the should be corrected using the attention mechanism of transformers.
💻 git-truck: 419⭐
It’s always nice when I find a tool makes codebase exploration a breeze! 🚀✨
💻 git-truck: 419⭐
Check out git-truck on GitHub for some useful Git repository visualizations and contribution stats.
This will immediately tell you if your code is resilient to the ominous truck factor.
Want to unlock secrets with your words? 🗝️🧙♂️
Meet Gandalf on Lakera – a unique challenge to test your prompting skills and coax out hidden info.
Want to unlock secrets with your words? 🗝️🧙♂️
This engaging platform puts you in the enchanter's shoes, using the art of prompt engineering to reveal Gandalf's secrets. It's a blend of creativity, strategy, and a touch of LLM magic. Perfect for honing your AI security skills and having a bit of fun along the way!
💻 treehacks-2023: 27⭐
This innovative solution helps to mitigate overfishing and protect our oceans. 🐟🛰️🌊
💻 treehacks-2023: 27⭐
They use AI-augmented satellite imagery and a sophisticated data visualization dashboard,
The project also features a novel few-shot synthetic image data augmentation method that leverages fine-tuned Stable Diffusion, making it a truly cutting-edge application of machine learning.
💻 torchscale: 3 k ⭐
Scale your transformers with ease using Microsoft's TorchScale!🔥🤖💻
💻 torchscale: 3 k ⭐
This powerful tool allows you to deploy and manage large-scale transformer models with ease
