To get started with learning PyTorch, start with our Beginner Tutorials. The 60-minute blitz is the most common starting point, and gives you a quick introduction to PyTorch. If you like learning by examples, you will like the tutorials

If you would like to do the tutorials interactively via IPython / Jupyter, each tutorial has a download link for a Jupyter Notebook and Python source code.

We also provide a lot of high-quality examples covering image classification, unsupervised learning, reinforcement learning, machine translation and many other applications at https://github.com/pytorch/examples/

You can find reference documentation for PyTorch's API and layers at http://docs.pytorch.org or via inline help. If you would like the tutorials section improved, please open a github issue here with your feedback: https://github.com/pytorch/tutorials

  • Deep Learning with PyTorch: A 60 Minute Blitz
  • PyTorch for Former Torch Users
  • Learning PyTorch with Examples
  • Transfer Learning Tutorial
  • Data Loading and Processing Tutorial
  • Deep Learning for NLP with PyTorch
  • Classifying Names with a Character-Level RNN
  • Generating Names with a Character-Level RNN
  • Translation with a Sequence to Sequence Network and Attention
  • Reinforcement Learning (DQN) Tutorial
  • Spatial Transformer Networks Tutorial
  • Neural Transfer with PyTorch
  • Creating Extensions using NumPy and SciPy
  • Transfering a Model from PyTorch to Caffe2 and Mobile Using ONNX
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