In this session we'll talk about PyTorch, covering the basics like tensors, autograd, and building models, but also exploring more advanced topics. We’ll touch on PyTorch Lightning for streamlined workflows, torch.jit for model optimization, and dive into the inner workings of autodiff and automatic differentiation. If you’re curious about how PyTorch handles advanced systems topics like efficient computation and scaling, this session is for you. Let’s learn and discuss together!

• What: PyTorch for beginners and experts alike
• When: Monday, Dec 2nd, 17:30
• Where: HB0210 (https://maps.tuwien.ac.at/?q=HB0210)
• Cost: Free, but limited capacity – please sign up!

The venue will be held in a room kindly provided by Prof. Jürgen Cito (Interactive Programming & Analysis Lab, TU Wien).

As always, the technical presentation will be followed by an informal discussion, as well as some games.

Looking forward to seeing you all again soon!