#412 · Primary category: Education & Research
deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
Project last updated:08/07/26
GitHub Stars
878
Forks
236
Contributors
6
License
MIT
Why we included this project
Deep Learning Wizard lays out the standard PyTorch path in tutorials that pair each idea with runnable code. You move from matrices and gradients through linear and logistic regression to feedforward networks, CNNs, RNNs, LSTMs, autoencoders, and reinforcement learning, with notebooks and markdown files that power a free open website. Because the site is mobile friendly, it also works as something to read between coding sessions on a phone. The material reaches into getting models into production, which is useful once you are past the fundamentals. It is a study resource, not a package you install, so treat it as a structured course plus a stash of PyTorch examples you can adapt for your own experiments.
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