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PyTorch Resources

Helpful PyTorch Development Links

PyTorch Documentation

The official PyTorch documentation is an invaluable resource for anyone, from beginners to advanced users. Here you will find detailed explanations about each function and class, as well as examples of usage. The docs moved to their own domain in 2025; the link below goes straight there without a redirect. Link Here

PyTorch Forums

It's a very active community where you can ask any question and usually get high quality answers really fast. It's moderated by members of the PyTorch team so the information is reliable. Link Here

PyTorch Tutorials

PyTorch provides a collection of tutorials that help you understand and use PyTorch. The list of tutorials is constantly updated and covers topics from basics to research, including the PyTorch 2.x material on torch.compile, torch.export and distributed training. Link Here

torch.compile and torch.export

The two headline features of PyTorch 2.x. The torch.compile documentation covers the compiler stack (TorchDynamo and TorchInductor), graph breaks and dynamic shapes; the torch.export documentation covers producing a standalone graph for serving and for ExecuTorch on-device deployment. torch.compile · torch.export

ExecuTorch

The official PyTorch runtime for mobile and embedded devices. If you need a model on a phone, a wearable or an embedded board, this is where the PyTorch edge story lives. Link Here

PyTorch on GitHub

PyTorch is an open source project and its source code is available on GitHub, where you can also find a list of issues and contribute to the project. Link Here

PyTorch on StackOverflow

There's a large community of developers who answer PyTorch questions on StackOverflow. You can ask for help about specific coding issues or contribute by helping other users. Link Here

PyTorch YouTube Channel

For visual learners, the official PyTorch YouTube channel includes tutorials, conference talks, and other helpful videos that guide you in PyTorch usage. Link Here

PyTorch on Udemy

There are many online courses available on Udemy about PyTorch, from beginner to advanced levels. They are not free, but they often go on sale. Link Here

Linux Foundation PyTorch Courses

The PyTorch Foundation is part of The Linux Foundation, whose training arm runs the official PyTorch courses. "PyTorch Essentials: An Applications-First Approach" (LFD273) is a hands-on course for engineers; "PyTorch and Deep Learning for Decision Makers" (LFS116) is a free, code-free introduction for managers and stakeholders. LFD273 · LFS116

PyTorch on Coursera

Coursera hosts university and industry PyTorch courses and specializations, many of which can be audited for free with a paid option for graded work and a certificate. Link Here

Hugging Face Transformers and PEFT

Most modern NLP and LLM work in PyTorch runs on the Hugging Face stack. The Transformers documentation covers loading and training pretrained models; the PEFT documentation covers LoRA, QLoRA and other parameter-efficient fine-tuning methods. Transformers · PEFT

PyTorch on Kaggle

Kaggle is a platform for predictive modelling and analytics competitions. They host competitions in which data scientists compete in order to produce the best models. With PyTorch being commonly used, you can learn a lot from the shared notebooks and forum discussion. Link Here

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