Explore tutorials that cover tools and frameworks in the PyTorch ecosystem. These practical guides will help you leverage PyTorch's extensive ecosystem for everything from experimentation to production deployment.
.. customcarditem:: :header: Hyperparameter Tuning Tutorial :card_description: Learn how to use Ray Tune to find the best performing set of hyperparameters for your model. :image: _static/img/ray-tune.png :link: beginner/hyperparameter_tuning_tutorial.html :tags: Model-Optimization,Best-Practice,Ecosystem
.. customcarditem:: :header: Multi-Objective Neural Architecture Search with Ax :card_description: Learn how to use Ax to search over architectures find optimal tradeoffs between accuracy and latency. :image: _static/img/ax_logo.png :link: intermediate/ax_multiobjective_nas_tutorial.html :tags: Model-Optimization,Best-Practice,Ax,TorchX,Ecosystem
.. customcarditem:: :header: Performance Profiling in TensorBoard :card_description: Learn how to use the TensorBoard plugin to profile and analyze your model's performance. :image: _static/img/thumbnails/cropped/profiler.png :link: intermediate/tensorboard_profiler_tutorial.html :tags: Model-Optimization,Best-Practice,Profiling,TensorBoard,Ecosystem
.. customcarditem:: :header: Introduction to TorchMultimodal :card_description: TorchMultimodal is a library that provides models, primitives and examples for training multimodal tasks :image: _static/img/thumbnails/torchrec.png :link: beginner/flava_finetuning_tutorial.html :tags: TorchMultimodal,Ecosystem
.. customcarditem:: :header: Real Time Inference on Raspberry Pi 4 :card_description: This tutorial covers how to run quantized and fused models on a Raspberry Pi 4 at 30 fps. :image: _static/img/thumbnails/cropped/realtime_rpi.png :link: intermediate/realtime_rpi.html :tags: TorchScript,Model-Optimization,Image/Video,Quantization,Ecosystem
.. customcarditem:: :header: Deploying PyTorch in Python via a REST API with Flask :card_description: Deploy a PyTorch model using Flask and expose a REST API for model inference using the example of a pretrained DenseNet 121 model which detects the image. :image: _static/img/thumbnails/cropped/Deploying-PyTorch-in-Python-via-a-REST-API-with-Flask.png :link: intermediate/flask_rest_api_tutorial.html :tags: Production,Ecosystem
.. toctree:: :maxdepth: 2 :hidden: beginner/hyperparameter_tuning_tutorial intermediate/ax_multiobjective_nas_tutorial intermediate/tensorboard_profiler_tutorial beginner/flava_finetuning_tutorial intermediate/realtime_rpi intermediate/flask_rest_api_tutorial