--- title: "DeepLearningExamples vs BMTrain" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nvidia-deeplearningexamples-vs-openbmb-bmtrain" tools: ["nvidia-deeplearningexamples", "openbmb-bmtrain"] --- # DeepLearningExamples vs BMTrain *GraphCanon updated Aug 17, 2026* ## Verdict Pick DeepLearningExamples if curated facts for DeepLearningExamples, tailored to its unique features and offerings; pick BMTrain if bMTrain: Efficient Training for Big Models in Python. [DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples) reports 15k GitHub stars, 3.4k forks, and 321 open issues, last pushed Aug 12, 2024. [BMTrain](https://github.com/OpenBMB/BMTrain) has 623 stars, 88 forks, and 10 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [DeepLearningExamples's repository](https://github.com/NVIDIA/DeepLearningExamples) and [BMTrain's repository](https://github.com/OpenBMB/BMTrain). | | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | [BMTrain](/tools/openbmb-bmtrain.md) | | --- | --- | --- | | Tagline | State-of-the-Art Deep Learning scripts for various applications | Efficient Training for Big Models | | Stars | 14,844 | 623 | | Forks | 3,408 | 88 | | Open issues | 321 | 10 | | Language | Jupyter Notebook | Python | | Adopt for | Curated facts for DeepLearningExamples, tailored to its unique features and offerings. | BMTrain: Efficient Training for Big Models in Python. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Inference & Serving, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | [BMTrain](/tools/openbmb-bmtrain.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 734d | 30d | | Open issues (now) | 321 | 10 | | Stars delta | +14 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Full report | [trust report](/tools/nvidia-deeplearningexamples/trust.md) | [trust report](/tools/openbmb-bmtrain/trust.md) | ## Decision facts: DeepLearningExamples - **Adopt for:** Curated facts for DeepLearningExamples, tailored to its unique features and offerings. ## Decision facts: BMTrain - **Adopt for:** BMTrain: Efficient Training for Big Models in Python. ## Choose when ### Choose DeepLearningExamples if… - DeepLearningExamples is primarily Jupyter Notebook; BMTrain is Python. - Tags unique to DeepLearningExamples: computer-vision, deep-learning, drug-discovery, forecasting. - Also covers Inference & Serving. - The NVIDIA GPU Cloud (NGC) Container Registry that integrates with this tool offers the latest updates every month along with rigorous quality assurance. ### Choose BMTrain if… - BMTrain is primarily Python; DeepLearningExamples is Jupyter Notebook. - Tags unique to BMTrain: apache-2.0-license, big model, fine-tuning, pre-training. - BMTrain ships Docker support for self-hosted deployment. - Need efficient pre-training or fine-tuning of large scale models ## 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 ## When NOT to use BMTrain - Seeking a tool that installs without compiling C/CUDA source code - Require immediate setup; BMTrain's installation might be time-consuming due to compilation steps ## Common questions ### What is the difference between DeepLearningExamples and BMTrain? DeepLearningExamples: State-of-the-Art Deep Learning scripts for various applications. BMTrain: Efficient Training for Big Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose DeepLearningExamples over BMTrain? Choose DeepLearningExamples over BMTrain when DeepLearningExamples is primarily Jupyter Notebook; BMTrain is Python; Tags unique to DeepLearningExamples: computer-vision, deep-learning, drug-discovery, forecasting; Also covers Inference & Serving; 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 choose BMTrain over DeepLearningExamples? Choose BMTrain over DeepLearningExamples when BMTrain is primarily Python; DeepLearningExamples is Jupyter Notebook; Tags unique to BMTrain: apache-2.0-license, big model, fine-tuning, pre-training; BMTrain ships Docker support for self-hosted deployment; Need efficient pre-training or fine-tuning of large scale models. ### 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 ### When should I avoid BMTrain? Seeking a tool that installs without compiling C/CUDA source code Require immediate setup; BMTrain's installation might be time-consuming due to compilation steps ### Is DeepLearningExamples or BMTrain more popular on GitHub? DeepLearningExamples has more GitHub stars (14,844 vs 623). Stars measure visibility, not whether either tool fits your constraints. ### Are DeepLearningExamples and BMTrain open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to DeepLearningExamples or BMTrain? GraphCanon lists graph-backed alternatives at [DeepLearningExamples alternatives](/tools/nvidia-deeplearningexamples/alternatives) and [BMTrain alternatives](/tools/openbmb-bmtrain/alternatives) ([DeepLearningExamples markdown twin](/tools/nvidia-deeplearningexamples/alternatives.md), [BMTrain markdown twin](/tools/openbmb-bmtrain/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/nvidia-deeplearningexamples-vs-openbmb-bmtrain.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DeepLearningExamples or BMTrain? DeepLearningExamples: Dormant. BMTrain: Steady. 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 DeepLearningExamples and BMTrain? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepLearningExamples trust report](/tools/nvidia-deeplearningexamples/trust); [BMTrain trust report](/tools/openbmb-bmtrain/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nvidia-deeplearningexamples`](/api/graphcanon/graph?tool=nvidia-deeplearningexamples) - 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/_