--- title: "ailia-models vs DeepLearningExamples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ailia-ai-ailia-models-vs-nvidia-deeplearningexamples" tools: ["ailia-ai-ailia-models", "nvidia-deeplearningexamples"] --- # ailia-models vs DeepLearningExamples *GraphCanon updated Sep 20, 2026* ## Verdict Pick ailia-models if pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing; 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. [ailia-models](https://github.com/ailia-ai/ailia-models) reports 2.4k GitHub stars, 365 forks, and 323 open issues, last pushed Sep 16, 2026. [DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples) has 15k stars, 3.4k forks, and 321 open issues, last pushed Aug 12, 2024. Figures are from public GitHub metadata via [ailia-models's repository](https://github.com/ailia-ai/ailia-models) and [DeepLearningExamples's repository](https://github.com/NVIDIA/DeepLearningExamples). | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Tagline | Repository of pre-trained AI models for ailia SDK | State-of-the-Art Deep Learning scripts for easy training and deployment with reproducible accuracy and performance on enterprise-grade infrastructure | | Stars | 2,392 | 14,847 | | Forks | 365 | 3,406 | | Open issues | 323 | 321 | | Language | Python | Jupyter Notebook | | Adopt for | Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing. | 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 | - | - | | Runtime | - | - | | License | - | The license information for DeepLearningExamples is unknown. | | Categories | Computer Vision, Model Training, Speech & Audio | Computer Vision, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 3d | 766d | | Open issues (now) | 323 | 321 | | Stars delta | +35 (30d) | +3 (30d) | | Open issues delta | +7 (30d) | 0 (30d) | | Full report | [trust report](/tools/ailia-ai-ailia-models/trust.md) | [trust report](/tools/nvidia-deeplearningexamples/trust.md) | ## Decision facts: ailia-models - **Adopt for:** Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing. ## 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. ## Choose when ### Choose ailia-models if… - ailia-models is primarily Python; DeepLearningExamples is Jupyter Notebook. - Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal. - Also covers Speech & Audio. - When developing apps that integrate with the ailia SDK ### Choose DeepLearningExamples if… - DeepLearningExamples is primarily Jupyter Notebook; ailia-models is Python. - 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 Inference & Serving. - 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 ailia-models - If your project does not align with ailia SDK or its specific model categories - When you require customization beyond what is offered by pre-trained models in this repository ## 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. ## Common questions ### What is the difference between ailia-models and DeepLearningExamples? ailia-models: Repository of pre-trained AI models for ailia SDK. 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 ailia-models over DeepLearningExamples? Choose ailia-models over DeepLearningExamples when ailia-models is primarily Python; DeepLearningExamples is Jupyter Notebook; Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal; Also covers Speech & Audio; When developing apps that integrate with the ailia SDK. ### When should I choose DeepLearningExamples over ailia-models? Choose DeepLearningExamples over ailia-models when DeepLearningExamples is primarily Jupyter Notebook; ailia-models is Python; 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 Inference & Serving; 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 ailia-models? If your project does not align with ailia SDK or its specific model categories When you require customization beyond what is offered by pre-trained models in this repository ### 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 ailia-models or DeepLearningExamples more popular on GitHub? DeepLearningExamples has more GitHub stars (14,847 vs 2,392). Stars measure visibility, not whether either tool fits your constraints. ### Are ailia-models and DeepLearningExamples open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ailia-models or DeepLearningExamples? GraphCanon lists graph-backed alternatives at [ailia-models alternatives](/tools/ailia-ai-ailia-models/alternatives) and [DeepLearningExamples alternatives](/tools/nvidia-deeplearningexamples/alternatives) ([ailia-models markdown twin](/tools/ailia-ai-ailia-models/alternatives.md), [DeepLearningExamples markdown twin](/tools/nvidia-deeplearningexamples/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/ailia-ai-ailia-models-vs-nvidia-deeplearningexamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ailia-models or DeepLearningExamples? ailia-models: Very 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 ailia-models and DeepLearningExamples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ailia-models trust report](/tools/ailia-ai-ailia-models/trust); [DeepLearningExamples trust report](/tools/nvidia-deeplearningexamples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ailia-ai-ailia-models`](/api/graphcanon/graph?tool=ailia-ai-ailia-models) - 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/_