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Isaac SIM ML Training Workflow - Object 3D pose estimation - this is a Docker container to help Robotics ML engineers to use Isaac Sim to train object 3D pose estimation (included with Isaac SDK) using simulation data and test it in simulation as well as real world. It is targeted at Robotics App Developer and ML Engineer. Required HW is NVIDIA DGX Station i.e. V100 is preferred; but any CUDA capable GPU will do.Please add description
Container
Conundrum Deep Learning based Predictive Maintenance Demo using NASA-Turbofan Engine Degradation Simulation dataset
Container
CDF Simulation generates annotated synthetic PCB imagery for training and validating automated optical inspection models. It uses NVIDIA Omniverse Replicator to produce photorealistic images for manufacturing quality assurance pipelines.
Container
Helm chart for Conundrum Deep Learning based Predictive Maintenance Demo using NASA-Turbofan Engine Degradation Simulation dataset
Helm Chart
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