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Life & fun · July 7, 2025

Deep-ML

We just launched Deep-ML Labs, a new section on Deep-ML Each Lab is a hands-on challenge where you implement parts of real models, activations, layers, optimizers, normalization, even small transformers — directly in PyTorch (and sometimes NumPy). You can test your implementations on actual datasets, see how your results compare to others, and understand what’s really happening under the hood of deep learning frameworks. let me know what you guys think and if we should work on making more of these questions

Deep-ML launched on July 7, 2025 with 13 votes, #1,123 of 9,223 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.

Visit deep-ml.com ↗Deep-ML alternativestop 12% of July 2025

What it does

Deep-ML is a machine learning challenge platform designed to help users improve their skills in algorithm development and AI applications. With a range of problems covering fundamental and to deepen their understanding and practical skills in machine learning.

Practice machine learning and data science with hands-on coding challenges. Solve problems, build models on real datasets, and sharpen your ML skills.

Deep-ML is a free machine learning practice platform. Browse ML coding challenges by difficulty and category. Write Python solutions in the browser-based code editor. Get instant feedback against test cases. Track your progress across collections and earn badges. Work with real datasets in labs. Learn through interactive articles with math visualizations. Discuss with the community: share machine learning interview experiences, ask ML questions, and debrief contests in the forum, where any referenced problem links straight to solving it. Every problem here is one you implement yourself. No library call standing in for the thing you are trying to learn. Real Python, real compute, free.…from deep-ml.com

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