Comparison
DeepLearningExamples vs BMTrain
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.
Markdown twin · DeepLearningExamples alternatives · BMTrain alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | DeepLearningExamples | BMTrain |
|---|---|---|
| Maintenance | Dormant (734d since push) As of 1w · github_public_v1 | Steady (30d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- DeepLearningExamples
- State-of-the-Art Deep Learning scripts for various applications
- BMTrain
- Efficient Training for Big Models
Stars
- DeepLearningExamples
- 15k
- BMTrain
- 623
Forks
- DeepLearningExamples
- 3.4k
- BMTrain
- 88
Open issues
- DeepLearningExamples
- 321
- BMTrain
- 10
Language
- DeepLearningExamples
- Jupyter Notebook
- BMTrain
- Python
Adopt for
- DeepLearningExamples
- Curated facts for DeepLearningExamples, tailored to its unique features and offerings.
- BMTrain
- BMTrain: Efficient Training for Big Models in Python.
Persona
- DeepLearningExamples
- -
- BMTrain
- -
Runtime
- DeepLearningExamples
- -
- BMTrain
- -
License
- DeepLearningExamples
- -
- BMTrain
- Apache-2.0
Last pushed
- DeepLearningExamples
- Aug 12, 2024
- BMTrain
- Jul 7, 2026
Categories
- DeepLearningExamples
- Inference & Serving, Model Training
- BMTrain
- Model Training
Trust and health
Maintenance
- DeepLearningExamples
- Dormant (18%)
- BMTrain
- Steady (60%)
Days since push
- DeepLearningExamples
- 734d
- BMTrain
- 30d
Open issues (now)
- DeepLearningExamples
- 321
- BMTrain
- 10
Stars delta
- DeepLearningExamples
- +14 (30d)
- BMTrain
- Unknown
Open issues delta
- DeepLearningExamples
- -1 (30d)
- BMTrain
- Unknown
Full report
- DeepLearningExamples
- Trust report
- BMTrain
- Trust report
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.
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
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NVIDIA/DeepLearningExamples) · observed Aug 17, 2026
- GitHub forks (NVIDIA/DeepLearningExamples) · observed Aug 17, 2026
- Last push (NVIDIA/DeepLearningExamples) · observed Aug 12, 2024
- License file (unknown) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (OpenBMB/BMTrain) · observed Aug 7, 2026
- GitHub forks (OpenBMB/BMTrain) · observed Aug 7, 2026
- Last push (OpenBMB/BMTrain) · observed Jul 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepLearningExamples 15k · BMTrain 623 (synced Aug 17, 2026).
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 and BMTrain alternatives (DeepLearningExamples markdown twin, BMTrain markdown twin), 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 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; BMTrain trust report.