databricks-solutions/devrel-examples

Letzte erfasste Quellaktivität: 21. Oktober 2026 um 21:17

SkillsMP-Katalog aktualisiert: 2. November 2026 um 18:02

gesammelte Skills: 2

GitHub-Stars: 16
GitHub-Forks: 9

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/databricks-solutions/devrel-examples.

README des Repositorys

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# DevRel Examples This repository contains examples from the Developer Relations team @ Databricks ## Repository Structure - **[`notebooks/`](notebooks/)** — Example notebooks covering Foundation Model APIs, Vector Search, AI Playground, MLflow, and more. See the [notebook catalog](notebooks/README.md) for details. - **[`demos/`](demos/)** — Self-contained demo projects: - [Arxiv Paper Analysis](demos/arxiv) - [Bee Pollinator Health Analysis](demos/bee-pollinator) - [Spatial Reconstruction from Any Video](demos/spatial-recon-any-video) — video to camera poses, point cloud and Gaussian splat on serverless GPU - [Quadcopter Flight Telemetry](demos/quadcopter-flight-telemetry) — real drone flights as Delta tables, with a Genie space that answers questions from the raw telemetry - [2026 H2 Conference Demos](demos/2026%20H2%20conference%20demos) — Omnigent and Unity AI Gateway ## How to use To use notebooks in the `./notebooks` directory of this repo, import them into Databricks. You can also create a [Databricks Github Folder](https://docs.databricks.com/en/repos/index.html) to clone the entire repository into your Databricks workspace in one step. ## How to get help Databricks support doesn't cover this content. For questions or bugs, please open a github issue and the team will help on a best effort basis.

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quadcopter-telemetry-genie

nicht klassifiziert

Deploy the quadcopter flight-telemetry bundle (13 anonymised flights of a small consumer quadcopter, as Delta tables in Unity Catalog, with a Genie space over them) and explore the data with Genie, including deriving a finer wind direction from the aircraft's…

Quellsprache: Englisch

2026-10-21

video-to-3d-on-databricks

nicht klassifiziert

Reconstruct a 3D scene (camera poses, point cloud, Gaussian splat) from aerial or ground video (e.g. drones, phones, robots, vehicle cameras) on Databricks serverless GPU, publish results progressively while the job runs, and optionally update one region of…

Quellsprache: Englisch

2026-10-12

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