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

What is a Project in Neptune?

Product update

Tracking and Managing Training Pipelines for Sports Data Analysis

Case studyComputer visionCollaborationDebuggingMonitoringReproducibility

Tracking Metadata from SageMaker Pipelines in an EdTech Startup

Case studyComputer visionNLPCollaborationMonitoringReproducibility

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

Example dashboardExample projectComputer visionTracking

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

Example dashboardExample projectTime seriesTracking

Create AzureML Pipeline – Workshop with Aurimas Griciūnas

VideoWebinar

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

Example dashboardExample projectMonitoring

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

Case studyReinforcement learningCollaborationMonitoringTracking

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

Product update

How to Track XGBoost Experiments and Data Versions

VideoTabular dataTrackingVersioning

How Does Data Get Transferred to neptune.ai Servers

Video

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

VideoVersioning