idlemachines
Master machine learning through code
idlemachines launched on June 24, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
There are two things you need to be great at machine learning. You need to understand the engineering needed to build complex training pipelines and make them efficient, and you need to understand the maths that describe how each of these components work. idlemachines is the place to learn and practice both. We have deep technical explanations in essays and workshops, and questions to make you prove your understanding at the cutting edge. And it might help you pass your technical interview too.
Practice machine learning engineering — tensors, linear algebra, deep learning, and more. Level up with coding challenges and timed interviews.
Does a similar job
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Machine learning automation from creating to using models in production2021 · github.com · ▲72a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
- AVA Visual and Interactive Guide to the Basics of Neural Networks2016 · jalammar.github.io · ▲63
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train
Deep-ML2025 · deep-ml.com · ▲13We 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
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