Comparison
amazon-sagemaker-examples vs DeepLearningExamples
Verdict
Pick amazon-sagemaker-examples if jupyter notebooks for illustrating machine learning workflows on Amazon SageMaker; pick DeepLearningExamples if deepLearningExamples offers state-of-the-art deep learning scripts optimized for NVIDIA GPUs, with a focus on reproducibility and performance. It supports a wide range of applications from computer vision to speech and N.
Markdown twin · amazon-sagemaker-examples alternatives · DeepLearningExamples alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | amazon-sagemaker-examples | DeepLearningExamples |
|---|---|---|
| Maintenance | Active (10d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (766d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- amazon-sagemaker-examples
- Jupyter notebooks for building, training, and deploying ML models using Amazon SageMaker
- DeepLearningExamples
- State-of-the-Art Deep Learning scripts for easy training and deployment with reproducible accuracy and performance on enterprise-grade infrastructure
Stars
- amazon-sagemaker-examples
- 11k
- DeepLearningExamples
- 15k
Forks
- amazon-sagemaker-examples
- 7.0k
- DeepLearningExamples
- 3.4k
Open issues
- amazon-sagemaker-examples
- 854
- DeepLearningExamples
- 321
Language
- amazon-sagemaker-examples
- Jupyter Notebook
- DeepLearningExamples
- Jupyter Notebook
Adopt for
- amazon-sagemaker-examples
- Jupyter notebooks for illustrating machine learning workflows on Amazon SageMaker
- DeepLearningExamples
- DeepLearningExamples offers state-of-the-art deep learning scripts optimized for NVIDIA GPUs, with a focus on reproducibility and performance. It supports a wide range of applications from computer vision to speech and N
Persona
- amazon-sagemaker-examples
- -
- DeepLearningExamples
- -
Runtime
- amazon-sagemaker-examples
- -
- DeepLearningExamples
- -
License
- amazon-sagemaker-examples
- Apache-2.0, allowing free use for any purpose with conditions on attribution and license preservation
- DeepLearningExamples
- The license information for DeepLearningExamples is unknown.
Last pushed
- amazon-sagemaker-examples
- Sep 9, 2026
- DeepLearningExamples
- Aug 12, 2024
Categories
- amazon-sagemaker-examples
- Inference & Serving, Model Training
- DeepLearningExamples
- Computer Vision, Inference & Serving, Model Training
Trust and health
Maintenance
- amazon-sagemaker-examples
- Active (82%)
- DeepLearningExamples
- Dormant (18%)
Days since push
- amazon-sagemaker-examples
- 10d
- DeepLearningExamples
- 766d
Open issues (now)
- amazon-sagemaker-examples
- 854
- DeepLearningExamples
- 321
Stars delta
- amazon-sagemaker-examples
- +6 (30d)
- DeepLearningExamples
- +3 (30d)
Open issues delta
- amazon-sagemaker-examples
- +5 (30d)
- DeepLearningExamples
- 0 (30d)
Full report
- amazon-sagemaker-examples
- Trust report
- DeepLearningExamples
- Trust report
Choose amazon-sagemaker-examples if…
- Tags unique to amazon-sagemaker-examples: aws, data-science, inference, jupyter-notebook.
- When you need examples specific to building models with Amazon SageMaker
- More recently updated (last pushed Sep 9, 2026).
When NOT to use amazon-sagemaker-examples
- For non-AWS environments where cost and integration complexities could outweigh benefits
- If seeking open-source tools without ties to a single cloud provider
Choose DeepLearningExamples if…
- Requirements: Requires NVIDIA GPUs for optimal performance.; Uses NVIDIA's CUDA-X software stack, including libraries like cuDNN, NCCL, and cuBLAS..
- Tags unique to DeepLearningExamples: computer-vision, drug-discovery, forecasting, large-language-models.
- Also covers Computer Vision.
- When you need deep learning scripts optimized for NVIDIA GPUs, including Volta, Turing, and Ampere architectures, for tasks like computer vision, NLP, and speech recognition.
When NOT to use DeepLearningExamples
- If your infrastructure does not include NVIDIA GPUs, as the scripts are specifically optimized for NVIDIA hardware.
- If you are looking for a tool that supports a wider range of hardware or non-NVIDIA GPU environments.
- When you need a solution that is not tied to specific frameworks like PyTorch, TensorFlow, or PaddlePaddle, as DeepLearningExamples focuses on these frameworks.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aws/amazon-sagemaker-examples) · observed Sep 20, 2026
- GitHub forks (aws/amazon-sagemaker-examples) · observed Sep 20, 2026
- Last push (aws/amazon-sagemaker-examples) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (NVIDIA/DeepLearningExamples) · observed Sep 20, 2026
- GitHub forks (NVIDIA/DeepLearningExamples) · observed Sep 20, 2026
- Last push (NVIDIA/DeepLearningExamples) · observed Aug 12, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: amazon-sagemaker-examples 11k · DeepLearningExamples 15k (synced Sep 20, 2026).
Common questions
- What is the difference between amazon-sagemaker-examples and DeepLearningExamples?
- amazon-sagemaker-examples: Jupyter notebooks for building, training, and deploying ML models using Amazon SageMaker. DeepLearningExamples: State-of-the-Art Deep Learning scripts for easy training and deployment with reproducible accuracy and performance on enterprise-grade infrastructure. See the comparison table for live GitHub stats and shared categories.
- When should I choose amazon-sagemaker-examples over DeepLearningExamples?
- Choose amazon-sagemaker-examples over DeepLearningExamples when Tags unique to amazon-sagemaker-examples: aws, data-science, inference, jupyter-notebook; When you need examples specific to building models with Amazon SageMaker; More recently updated (last pushed Sep 9, 2026).
- When should I choose DeepLearningExamples over amazon-sagemaker-examples?
- Choose DeepLearningExamples over amazon-sagemaker-examples when Requirements: Requires NVIDIA GPUs for optimal performance.; Uses NVIDIA's CUDA-X software stack, including libraries like cuDNN, NCCL, and cuBLAS.; Tags unique to DeepLearningExamples: computer-vision, drug-discovery, forecasting, large-language-models; Also covers Computer Vision; When you need deep learning scripts optimized for NVIDIA GPUs, including Volta, Turing, and Ampere architectures, for tasks like computer vision, NLP, and speech recognition.
- When should I avoid amazon-sagemaker-examples?
- For non-AWS environments where cost and integration complexities could outweigh benefits If seeking open-source tools without ties to a single cloud provider
- When should I avoid DeepLearningExamples?
- If your infrastructure does not include NVIDIA GPUs, as the scripts are specifically optimized for NVIDIA hardware. If you are looking for a tool that supports a wider range of hardware or non-NVIDIA GPU environments. When you need a solution that is not tied to specific frameworks like PyTorch, TensorFlow, or PaddlePaddle, as DeepLearningExamples focuses on these frameworks.
- Is amazon-sagemaker-examples or DeepLearningExamples more popular on GitHub?
- DeepLearningExamples has more GitHub stars (14,847 vs 10,990). Stars measure visibility, not whether either tool fits your constraints.
- Are amazon-sagemaker-examples and DeepLearningExamples open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to amazon-sagemaker-examples or DeepLearningExamples?
- GraphCanon lists graph-backed alternatives at amazon-sagemaker-examples alternatives and DeepLearningExamples alternatives (amazon-sagemaker-examples markdown twin, DeepLearningExamples 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, amazon-sagemaker-examples or DeepLearningExamples?
- amazon-sagemaker-examples: Active. 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 amazon-sagemaker-examples and DeepLearningExamples?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: amazon-sagemaker-examples trust report; DeepLearningExamples trust report.