Neptune resources

Learn how you can benefit from Neptune
in different use cases, workflows, and ML verticals

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What is a Project in Neptune?

Product update
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Tracking and Managing Training Pipelines for Sports Data Analysis

Case studyComputer visionCollaborationDebuggingMonitoringReproducibility
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Tracking Metadata from SageMaker Pipelines in an EdTech Startup

Case studyComputer visionNLPCollaborationMonitoringReproducibility
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Model Training: Detectron2 + neptune.ai Integration [Example]

Example dashboardExample projectComputer visionTracking
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Model Training: Prophet + neptune.ai Integration [Example]

Example dashboardExample projectTime seriesTracking
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Create AzureML Pipeline – Workshop with Aurimas Griciūnas

VideoWebinar
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Production Model Monitoring: Evidently + neptune.ai [Example]

Example dashboardExample projectMonitoring
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Gaining Visibility Across the Organization When Training Systems for Self-Driving Vehicles

Case studyReinforcement learningCollaborationMonitoringTracking
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Web Application Redesign: What’s Changed and What’s on the Roadmap

Product update
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How to Track XGBoost Experiments and Data Versions

VideoTabular dataTrackingVersioning
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How Does Data Get Transferred to neptune.ai Servers

Video
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How to Version Datasets or Models Stored in the S3 Compatible Storage

VideoVersioning
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