--- title: "DeepLearningExamples vs learnopencv" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nvidia-deeplearningexamples-vs-spmallick-learnopencv" tools: ["nvidia-deeplearningexamples", "spmallick-learnopencv"] --- # DeepLearningExamples vs learnopencv *GraphCanon updated Sep 21, 2026* ## Verdict 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; pick learnopencv if learnopencv offers code examples for Computer Vision and Deep Learning tutorials in C++ and Python on the LearnOpenCV website. [DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples) reports 15k GitHub stars, 3.4k forks, and 321 open issues, last pushed Aug 12, 2024. [learnopencv](https://www.learnopencv.com/) has 23k stars, 12k forks, and 220 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [DeepLearningExamples's repository](https://github.com/NVIDIA/DeepLearningExamples) and [learnopencv's repository](https://github.com/spmallick/learnopencv). | | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | [learnopencv](/tools/spmallick-learnopencv.md) | | --- | --- | --- | | Tagline | State-of-the-Art Deep Learning scripts for easy training and deployment with reproducible accuracy and performance on enterprise-grade infrastructure | Code for Computer Vision and Deep Learning articles in C++ and Python | | Stars | 14,847 | 23,157 | | Forks | 3,406 | 11,658 | | Open issues | 321 | 220 | | Language | Jupyter Notebook | Jupyter Notebook | | Adopt for | 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 | learnopencv offers code examples for Computer Vision and Deep Learning tutorials in C++ and Python on the LearnOpenCV website. | | Persona | - | - | | Runtime | - | - | | License | The license information for DeepLearningExamples is unknown. | (unknown) | | Categories | Computer Vision, Inference & Serving, Model Training | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | [learnopencv](/tools/spmallick-learnopencv.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 766d | 0d | | Open issues (now) | 321 | 220 | | Stars delta | +3 (30d) | +103 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/nvidia-deeplearningexamples/trust.md) | [trust report](/tools/spmallick-learnopencv/trust.md) | ## Decision facts: DeepLearningExamples - **Requirements:** Requires NVIDIA GPUs for optimal performance.; Uses NVIDIA's CUDA-X software stack, including libraries like cuDNN, NCCL, and cuBLAS. - **Adopt for:** 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 - **License detail:** The license information for DeepLearningExamples is unknown. ## Decision facts: learnopencv - **Adopt for:** learnopencv offers code examples for Computer Vision and Deep Learning tutorials in C++ and Python on the LearnOpenCV website. - **License detail:** (unknown) ## Choose when ### 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: drug-discovery, forecasting, large-language-models, mxnet. - Also covers Inference & Serving, Model Training. - 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. ### Choose learnopencv if… - Tags unique to learnopencv: ai, machine-learning, opencv. - Use learnopencv when you are seeking practical implementation details to accompany specific blog posts or articles focused on OpenCV operations and deep learning models in computer vision. - More GitHub stars (23k vs 15k) - visibility, not fit. ## 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. ## When NOT to use learnopencv - Avoid using learnopencv if you need a comprehensive framework for developing end-to-end solutions without the context of specific tutorials or blog posts. - Do not rely solely on this repository for production-level computer vision implementations, as it is oriented towards educational and learning purposes rather than industrial use cases. ## Common questions ### What is the difference between DeepLearningExamples and learnopencv? DeepLearningExamples: State-of-the-Art Deep Learning scripts for easy training and deployment with reproducible accuracy and performance on enterprise-grade infrastructure. learnopencv: Code for Computer Vision and Deep Learning articles in C++ and Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose DeepLearningExamples over learnopencv? Choose DeepLearningExamples over learnopencv 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: drug-discovery, forecasting, large-language-models, mxnet; Also covers Inference & Serving, Model Training; 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 choose learnopencv over DeepLearningExamples? Choose learnopencv over DeepLearningExamples when Tags unique to learnopencv: ai, machine-learning, opencv; Use learnopencv when you are seeking practical implementation details to accompany specific blog posts or articles focused on OpenCV operations and deep learning models in computer vision; More GitHub stars (23k vs 15k) - visibility, not fit. ### 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. ### When should I avoid learnopencv? Avoid using learnopencv if you need a comprehensive framework for developing end-to-end solutions without the context of specific tutorials or blog posts. Do not rely solely on this repository for production-level computer vision implementations, as it is oriented towards educational and learning purposes rather than industrial use cases. ### Is DeepLearningExamples or learnopencv more popular on GitHub? learnopencv has more GitHub stars (23,157 vs 14,847). Stars measure visibility, not whether either tool fits your constraints. ### Are DeepLearningExamples and learnopencv open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to DeepLearningExamples or learnopencv? GraphCanon lists graph-backed alternatives at [DeepLearningExamples alternatives](/tools/nvidia-deeplearningexamples/alternatives) and [learnopencv alternatives](/tools/spmallick-learnopencv/alternatives) ([DeepLearningExamples markdown twin](/tools/nvidia-deeplearningexamples/alternatives.md), [learnopencv markdown twin](/tools/spmallick-learnopencv/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-spmallick-learnopencv.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DeepLearningExamples or learnopencv? DeepLearningExamples: Dormant. learnopencv: Very active. 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 learnopencv? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepLearningExamples trust report](/tools/nvidia-deeplearningexamples/trust); [learnopencv trust report](/tools/spmallick-learnopencv/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/_