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nextcloud / app-tutorial
JavaScript 0 0
Tutorial app which is built in the tutorial
hacktoberfest nextcloud php tutorial frontend app development
Обновлено 2024-09-14 04:04:54 +03:00
microsoft / recommenders
Python 0 0
Best Practices on Recommendation Systems
azure microsoft machine-learning python deep-learning kubernetes data-science artificial-intelligence jupyter-notebook tutorial operationalization ranking rating recommendation recommendation-algorithm recommendation-engine recommendation-system recommender
Обновлено 2024-09-11 11:50:56 +03:00
github / opensource.guide
HTML 0 0
📚 Community guides for open source creators
documentation open-source tutorial best-practices oss
Обновлено 2024-09-09 04:05:16 +03:00
microsoft / computervision-recipes
Jupyter Notebook 0 0
Best Practices, code samples, and documentation for Computer Vision.
microsoft azure machine-learning python deep-learning data-science computer-vision kubernetes artificial-intelligence object-detection tutorial jupyter-notebook convolutional-neural-networks image-classification image-processing operationalization similarity
Обновлено 2023-10-18 19:13:00 +03:00
Azure / iot-central-compute
JavaScript 0 0
A simple way to do compute and data transformation on data sent to Azure IoT Central using Azure Functions and a slightly modified version of the Azure IoT Central Device Bridge.
javascript azure-functions iot nodejs iot-central tutorial data-transformation
Обновлено 2023-07-21 01:51:03 +03:00
AvaloniaUI / Documentation
SVG 0 0
AvaloniaUI documentation page source code
dotnet csharp xaml avalonia documentation cross-platform tutorial
Обновлено 2023-06-28 08:26:28 +03:00
microsoft / AutonomousDrivingCookbook
Jupyter Notebook 0 0
Scenarios, tutorials and demos for Autonomous Driving
microsoft deep-learning simulation tensorflow robotics tutorial autonomous-vehicles airsim self-driving-car autonomous-driving autonomous-driving-cookbook car cntk keras microsoft-garage
Обновлено 2023-06-12 22:32:09 +03:00
Unity-Technologies / Robotics-Object-Pose-Estimation
Python 0 0
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
unity machine-learning deep-learning computer-vision robotics manipulation perception physics-simulation pose-estimation robotics-simulation simulation ur3-robot-arm ros urdf motion-planning synthetic-data trajectory-generation tutorial model-training autonomy
Обновлено 2022-04-13 20:50:31 +03:00
microsoft / sarif-tutorials
Markdown 0 0
User-friendly documentation for the SARIF file format.
tutorial static-analysis sarif
Обновлено 2021-06-29 18:21:40 +03:00