![]() Getting Started with Distributed RPC Framework.Writing Distributed Applications with PyTorch.Getting Started with Distributed Data Parallel.Single-Machine Model Parallel Best Practices.(beta) Static Quantization with Eager Mode in PyTorch.(beta) Quantized Transfer Learning for Computer Vision Tutorial.(beta) Dynamic Quantization on an LSTM Word Language Model.Extending dispatcher for a new backend in C++.Registering a Dispatched Operator in C++.Extending TorchScript with Custom C++ Classes.Extending TorchScript with Custom C++ Operators.Fusing Convolution and Batch Norm using Custom Function.(beta) Channels Last Memory Format in PyTorch.(beta) Building a Simple CPU Performance Profiler with FX.(beta) Building a Convolution/Batch Norm fuser in FX.(optional) Exporting a Model from PyTorch to ONNX and Running it using ONNX Runtime.Deploying PyTorch in Python via a REST API with Flask.Language Translation with nn.Transformer and torchtext.Text classification with the torchtext library.NLP From Scratch: Translation with a Sequence to Sequence Network and Attention.NLP From Scratch: Generating Names with a Character-Level RNN.NLP From Scratch: Classifying Names with a Character-Level RNN.Language Modeling with nn.Transformer and TorchText.Speech Command Classification with torchaudio.Optimizing Vision Transformer Model for Deployment.Transfer Learning for Computer Vision Tutorial. ![]() TorchVision Object Detection Finetuning Tutorial.Visualizing Models, Data, and Training with TensorBoard.Deep Learning with PyTorch: A 60 Minute Blitz.
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