--- title: "ormb vs DeepLearningExamples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kleveross-ormb-vs-nvidia-deeplearningexamples" tools: ["kleveross-ormb", "nvidia-deeplearningexamples"] --- # ormb vs DeepLearningExamples *GraphCanon updated Aug 17, 2026* ## Verdict Pick ormb if oRMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management; pick DeepLearningExamples if curated facts for DeepLearningExamples, tailored to its unique features and offerings. [ormb](https://github.com/kleveross/ormb) reports 473 GitHub stars, 61 forks, and 32 open issues, last pushed Jan 26, 2024. [DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples) has 15k stars, 3.4k forks, and 321 open issues, last pushed Aug 12, 2024. Figures are from public GitHub metadata via [ormb's repository](https://github.com/kleveross/ormb) and [DeepLearningExamples's repository](https://github.com/NVIDIA/DeepLearningExamples). | | [ormb](/tools/kleveross-ormb.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Tagline | Docker for ML/DL Models Based on OCI Artifacts | State-of-the-Art Deep Learning scripts for various applications | | Stars | 473 | 14,844 | | Forks | 61 | 3,408 | | Open issues | 32 | 321 | | Language | Go | Jupyter Notebook | | Adopt for | ORMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management. | Curated facts for DeepLearningExamples, tailored to its unique features and offerings. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Inference & Serving, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ormb](/tools/kleveross-ormb.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Days since push | 920d | 734d | | Open issues (now) | 32 | 321 | | Stars delta | Unknown | +14 (30d) | | Open issues delta | Unknown | -1 (30d) | | Full report | [trust report](/tools/kleveross-ormb/trust.md) | [trust report](/tools/nvidia-deeplearningexamples/trust.md) | ## Decision facts: ormb - **Adopt for:** ORMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management. ## Decision facts: DeepLearningExamples - **Adopt for:** Curated facts for DeepLearningExamples, tailored to its unique features and offerings. ## Choose when ### Choose ormb if… - ormb is primarily Go; DeepLearningExamples is Jupyter Notebook. - Tags unique to ormb: docker, machine-learning, model-management, model-versioning. - If you need sophisticated version control for your ML/DL models through an image registry, ORMB provides this functionality. ### Choose DeepLearningExamples if… - DeepLearningExamples is primarily Jupyter Notebook; ormb is Go. - Tags unique to DeepLearningExamples: computer-vision, deep-learning, drug-discovery, forecasting. - The NVIDIA GPU Cloud (NGC) Container Registry that integrates with this tool offers the latest updates every month along with rigorous quality assurance. ## When NOT to use ormb - Should you seek simple models deployment without extensive version management features, ORMB may introduce unnecessary complexity. - If your project strictly avoids using Docker and OCI artifacts for model handling, then this tool would not be suitable. ## When NOT to use DeepLearningExamples - Avoid using DeepLearningExamples if you do not have access to NVIDIA GPUs, as it is heavily optimized for these specific hardware configurations to provide maximum utilization of Tensor Cores. - If your project requires frameworks that are less common (e.g., MXNet or PaddlePaddle) without the same level of support as PyTorch and TensorFlow on this platform, consider other repositories that n ## Common questions ### What is the difference between ormb and DeepLearningExamples? ormb: Docker for ML/DL Models Based on OCI Artifacts. DeepLearningExamples: State-of-the-Art Deep Learning scripts for various applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose ormb over DeepLearningExamples? Choose ormb over DeepLearningExamples when ormb is primarily Go; DeepLearningExamples is Jupyter Notebook; Tags unique to ormb: docker, machine-learning, model-management, model-versioning; If you need sophisticated version control for your ML/DL models through an image registry, ORMB provides this functionality. ### When should I choose DeepLearningExamples over ormb? Choose DeepLearningExamples over ormb when DeepLearningExamples is primarily Jupyter Notebook; ormb is Go; Tags unique to DeepLearningExamples: computer-vision, deep-learning, drug-discovery, forecasting; The NVIDIA GPU Cloud (NGC) Container Registry that integrates with this tool offers the latest updates every month along with rigorous quality assurance. ### When should I avoid ormb? Should you seek simple models deployment without extensive version management features, ORMB may introduce unnecessary complexity. If your project strictly avoids using Docker and OCI artifacts for model handling, then this tool would not be suitable. ### When should I avoid DeepLearningExamples? Avoid using DeepLearningExamples if you do not have access to NVIDIA GPUs, as it is heavily optimized for these specific hardware configurations to provide maximum utilization of Tensor Cores. If your project requires frameworks that are less common (e.g., MXNet or PaddlePaddle) without the same level of support as PyTorch and TensorFlow on this platform, consider other repositories that n ### Is ormb or DeepLearningExamples more popular on GitHub? DeepLearningExamples has more GitHub stars (14,844 vs 473). Stars measure visibility, not whether either tool fits your constraints. ### Are ormb and DeepLearningExamples open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ormb or DeepLearningExamples? GraphCanon lists graph-backed alternatives at [ormb alternatives](/tools/kleveross-ormb/alternatives) and [DeepLearningExamples alternatives](/tools/nvidia-deeplearningexamples/alternatives) ([ormb markdown twin](/tools/kleveross-ormb/alternatives.md), [DeepLearningExamples markdown twin](/tools/nvidia-deeplearningexamples/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/kleveross-ormb-vs-nvidia-deeplearningexamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ormb or DeepLearningExamples? ormb: Dormant. DeepLearningExamples: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ormb and DeepLearningExamples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ormb trust report](/tools/kleveross-ormb/trust); [DeepLearningExamples trust report](/tools/nvidia-deeplearningexamples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kleveross-ormb`](/api/graphcanon/graph?tool=kleveross-ormb) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_