Comparison
DeepLearningExamples vs Forward
Verdict
Pick DeepLearningExamples if curated facts for DeepLearningExamples, tailored to its unique features and offerings; pick Forward if forward is an NVIDIA GPU-based high-performance deep learning inference library that converts popular framework models directly into TensorRT for optimized inference.
Markdown twin · DeepLearningExamples alternatives · Forward alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | DeepLearningExamples | Forward |
|---|---|---|
| Maintenance | Dormant (734d since push) As of 6d · github_public_v1 | Dormant (1647d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · 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
- Forward
- A library for high performance deep learning inference on NVIDIA GPUs
Stars
- DeepLearningExamples
- 15k
- Forward
- 556
Forks
- DeepLearningExamples
- 3.4k
- Forward
- 63
Open issues
- DeepLearningExamples
- 321
- Forward
- 0
Language
- DeepLearningExamples
- Jupyter Notebook
- Forward
- C++
Adopt for
- DeepLearningExamples
- Curated facts for DeepLearningExamples, tailored to its unique features and offerings.
- Forward
- Forward is an NVIDIA GPU-based high-performance deep learning inference library that converts popular framework models directly into TensorRT for optimized inference.
Persona
- DeepLearningExamples
- -
- Forward
- -
Runtime
- DeepLearningExamples
- -
- Forward
- -
License
- DeepLearningExamples
- -
- Forward
- Other license type - specific terms not detailed here; consult repository for details on licensing implications and permissiveness of use and distribution.
Last pushed
- DeepLearningExamples
- Aug 12, 2024
- Forward
- Jan 29, 2022
Categories
- DeepLearningExamples
- Inference & Serving, Model Training
- Forward
- Inference & Serving
Trust and health
Days since push
- DeepLearningExamples
- 734d
- Forward
- 1647d
Open issues (now)
- DeepLearningExamples
- 321
- Forward
- 0
Stars delta
- DeepLearningExamples
- +14 (30d)
- Forward
- Unknown
Open issues delta
- DeepLearningExamples
- -1 (30d)
- Forward
- Unknown
Full report
- DeepLearningExamples
- Trust report
- Forward
- Trust report
Choose DeepLearningExamples if…
- DeepLearningExamples is primarily Jupyter Notebook; Forward is C++.
- Tags unique to DeepLearningExamples: computer-vision, drug-discovery, forecasting, large language models.
- Also covers Model Training.
- 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 Forward if…
- Forward is primarily C++; DeepLearningExamples is Jupyter Notebook.
- Tags unique to Forward: cuda, forward, gpu, inference.
- When you need to quickly integrate TensorFlow, PyTorch, Keras, or ONNX models on NVIDIA GPUs for inference and require minimal conversion effort.
When NOT to use Forward
- If your project requires model serving or inference on CPU-only environments, as Forward is optimized for NVIDIA GPUs.
- For users who need extensive customization beyond the supported models (TensorFlow, PyTorch, Keras, ONNX) as expanding support necessitates additional engineering effort.
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 (Tencent/Forward) · observed Aug 4, 2026
- GitHub forks (Tencent/Forward) · observed Aug 4, 2026
- Last push (Tencent/Forward) · observed Jan 29, 2022
- License file (Other) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepLearningExamples 15k · Forward 556 (synced Aug 17, 2026).
Common questions
- What is the difference between DeepLearningExamples and Forward?
- DeepLearningExamples: State-of-the-Art Deep Learning scripts for various applications. Forward: A library for high performance deep learning inference on NVIDIA GPUs. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepLearningExamples over Forward?
- Choose DeepLearningExamples over Forward when DeepLearningExamples is primarily Jupyter Notebook; Forward is C++; Tags unique to DeepLearningExamples: computer-vision, drug-discovery, forecasting, large language models; Also covers Model Training; 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 Forward over DeepLearningExamples?
- Choose Forward over DeepLearningExamples when Forward is primarily C++; DeepLearningExamples is Jupyter Notebook; Tags unique to Forward: cuda, forward, gpu, inference; When you need to quickly integrate TensorFlow, PyTorch, Keras, or ONNX models on NVIDIA GPUs for inference and require minimal conversion effort.
- 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 Forward?
- If your project requires model serving or inference on CPU-only environments, as Forward is optimized for NVIDIA GPUs. For users who need extensive customization beyond the supported models (TensorFlow, PyTorch, Keras, ONNX) as expanding support necessitates additional engineering effort.
- Is DeepLearningExamples or Forward more popular on GitHub?
- DeepLearningExamples has more GitHub stars (14,844 vs 556). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepLearningExamples and Forward open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to DeepLearningExamples or Forward?
- GraphCanon lists graph-backed alternatives at DeepLearningExamples alternatives and Forward alternatives (DeepLearningExamples markdown twin, Forward 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 Forward?
- DeepLearningExamples: Dormant. Forward: 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 DeepLearningExamples and Forward?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepLearningExamples trust report; Forward trust report.