:orphan: ############################################ Discover what Lightning Apps can do in 5 min ############################################ .. _what_app_can_do: Lightning Apps can be plenty things, and while a picture is worth a thousand words, videos showing you examples should be worth even more. ***************************** Flashy - Auto ML App (Public) ***************************** Train a model on any image or text dataset without writing any code. Flashy uses `React.js `_ for its frontend. Find `Flashy `_ on the App Gallery and the `Flashy codebase. `_ on GitHub. .. video:: https://pl-public-data.s3.amazonaws.com/assets_lightning/flashy.mp4 :poster: https://pl-public-data.s3.amazonaws.com/assets_lightning/flashy.png :width: 600 :class: background-video :autoplay: :loop: :muted: .. ---- .. *************************************** .. NVIDIA Omniverse Sampling App (Private) .. *************************************** .. Use `Nvidia Sampling Omniverse `_ to generate synthetic samples from 3D meshes and train an object detector on that data. .. .. video:: https://pl-public-data.s3.amazonaws.com/assets_lightning/Omniverse-Sampling.mp4 :poster: https://pl-public-data.s3.amazonaws.com/assets_lightning/Omniverse-Sampling.png :width: 600 :class: background-video :autoplay: :loop: :muted: ---- ********************* Research App (Public) ********************* Share your paper ``bundled`` with the arxiv link, poster, live jupyter notebook, interactive demo to try the model, and more! Find the `Research App `_ on the App Gallery and the `Research App codebase. `_ on GitHub. .. video:: https://pl-public-data.s3.amazonaws.com/assets_lightning/research_app.mp4 :poster: https://pl-public-data.s3.amazonaws.com/assets_lightning/research_app.png :width: 600 :class: background-video :autoplay: :loop: :muted: ---- ************************************************ ScratchPad - Notebook Manager for Team (Public) ************************************************ Run multiple Jupyter Notebooks on cloud CPUs or machines with multiple GPUs. Find the `ScratchPad App `_ on the App Gallery and the `ScratchPad App codebase `_ on GitHub. .. note:: ScratchPad is `tested end-to-end `_ on every Lightning App commit with `pytest `_. .. video:: https://pl-public-data.s3.amazonaws.com/assets_lightning/notebook_apps.mp4 :poster: https://pl-public-data.s3.amazonaws.com/assets_lightning/notebook_apps.png :width: 600 :class: background-video :autoplay: :loop: :muted: ---- *********************** InVideo Search (Public) *********************** This App lets you find anything you're looking for inside a video. The engine is powered by `Open AI CLIP `_. Find the `InVideo Search App `_ on the App Gallery and the `InVideo Search App codebase. `_ in GitHub. .. video:: https://pl-public-data.s3.amazonaws.com/assets_lightning/video_search_2.mp4 :poster: https://pl-public-data.s3.amazonaws.com/assets_lightning/video_search_2.png :width: 600 :class: background-video :autoplay: :loop: :muted: ---- ****************************** AI-powered HackerNews (Public) ****************************** Save yourself time, and get Hacker News story recommendations, chosen for you specifically. This Lightning App was designed to illustrate a full end-to-end MLOPs workflow aimed at enterprise recommendation systems. Find the `AI-powered HackerNews App `_ on the App Gallery and the `AI-powered HackerNews App codebase. `_ on GitHub. .. video:: https://pl-public-data.s3.amazonaws.com/assets_lightning/hackernews_app.mp4 :poster: https://pl-public-data.s3.amazonaws.com/assets_lightning/hackernews_app.png :width: 600 :class: background-video :autoplay: :loop: :muted: ---- ********************************************************************* Lightning Apps can turn ML into scalable systems in days — not months ********************************************************************* Use the Lightning framework to develop any ML system: train and deploy a model, create an ETL pipeline, or spin up a research demo — using the intuitive principles we pioneered with PyTorch Lightning. .. figure:: https://pl-public-data.s3.amazonaws.com/assets_lightning/apps_logos_2.png :alt: Apps with Logos :width: 100 % Anyone who knows Python can build a Lightning App, even without machine learning experience. Lightning Apps are: - cloud agnostic - fault-tolerant, distributed, cost optimized - production ready - local and cloud debuggable - highly reactive & interactive - connect multiple UIs together - built for team collaboration - framework agnostic, use your own stack - and much more .. video:: https://pl-public-data.s3.amazonaws.com/assets_lightning/lightning_app_experience_cut.mp4 :poster: https://pl-public-data.s3.amazonaws.com/assets_lightning/lightning_app_experience_cut.png :width: 600 :class: background-video :autoplay: :loop: :muted: ********** Next Steps ********** .. raw:: html
.. displayitem:: :header: Build & Train a Model :description: Discover PyTorch Lightning and train your first Model. :col_css: col-md-4 :button_link: build_model.html :height: 180 .. displayitem:: :header: Evolve a Model into an ML System :description: Develop an App to train a model in the cloud :col_css: col-md-4 :button_link: training_with_apps.html :height: 180 .. displayitem:: :header: Start from an ML system template :description: Learn about Apps, from a template. :col_css: col-md-4 :button_link: go_beyond_training.html :height: 180 .. raw:: html