--- title: "pratical-llms vs DeepLearningExamples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/antoniogr7-pratical-llms-vs-nvidia-deeplearningexamples" tools: ["antoniogr7-pratical-llms", "nvidia-deeplearningexamples"] --- # pratical-llms vs DeepLearningExamples *GraphCanon updated Aug 17, 2026* ## Verdict Pick pratical-llms if practical-llms is a collection of Jupyter Notebooks aimed at LLM practitioners with practical guidance on quantization, sharding, inference and evaluation techniques; pick DeepLearningExamples if curated facts for DeepLearningExamples, tailored to its unique features and offerings. [pratical-llms](https://github.com/AntonioGr7/pratical-llms) reports 53 GitHub stars, 15 forks, and 0 open issues, last pushed Jan 13, 2025. [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 [pratical-llms's repository](https://github.com/AntonioGr7/pratical-llms) and [DeepLearningExamples's repository](https://github.com/NVIDIA/DeepLearningExamples). | | [pratical-llms](/tools/antoniogr7-pratical-llms.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Tagline | A collection of hands-on notebooks for LLM practitioners | State-of-the-Art Deep Learning scripts for various applications | | Stars | 53 | 14,844 | | Forks | 15 | 3,408 | | Open issues | 0 | 321 | | Language | Jupyter Notebook | Jupyter Notebook | | Adopt for | practical-llms is a collection of Jupyter Notebooks aimed at LLM practitioners with practical guidance on quantization, sharding, inference and evaluation techniques. | Curated facts for DeepLearningExamples, tailored to its unique features and offerings. | | Persona | - | - | | Runtime | - | - | | License | - | - | | Categories | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pratical-llms](/tools/antoniogr7-pratical-llms.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) | | --- | --- | --- | | Days since push | 572d | 734d | | Open issues (now) | 0 | 321 | | Stars delta | Unknown | +14 (30d) | | Open issues delta | Unknown | -1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/antoniogr7-pratical-llms/trust.md) | [trust report](/tools/nvidia-deeplearningexamples/trust.md) | ## Decision facts: pratical-llms - **Adopt for:** practical-llms is a collection of Jupyter Notebooks aimed at LLM practitioners with practical guidance on quantization, sharding, inference and evaluation techniques. ## Decision facts: DeepLearningExamples - **Adopt for:** Curated facts for DeepLearningExamples, tailored to its unique features and offerings. ## Choose when ### Choose pratical-llms if… - Tags unique to pratical-llms: genai, llm-evaluation, llm-inference, llm-serving. - Also covers Evaluation & Observability, LLM Frameworks. - If you want to explore specific quantization methods like BitandBytes, GPTQ, exllamav2, or Half-Quadratic Quantization (HQQ). ### Choose DeepLearningExamples if… - Tags unique to DeepLearningExamples: computer-vision, deep-learning, drug-discovery, forecasting. - The NVIDIA GPU Cloud (NGC) Container Registry that integrates with this tool offers the latest updates every month along with rigorous quality assurance. - More GitHub stars (15k vs 53) - visibility, not fit. ## When NOT to use pratical-llms - If you seek deep theoretical insights rather than practical implementation details. - For users looking for commercial support as this repository does not provide it, unlike some competitors. ## 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 ## Common questions ### What is the difference between pratical-llms and DeepLearningExamples? pratical-llms: A collection of hands-on notebooks for LLM practitioners. DeepLearningExamples: State-of-the-Art Deep Learning scripts for various applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose pratical-llms over DeepLearningExamples? Choose pratical-llms over DeepLearningExamples when Tags unique to pratical-llms: genai, llm-evaluation, llm-inference, llm-serving; Also covers Evaluation & Observability, LLM Frameworks; If you want to explore specific quantization methods like BitandBytes, GPTQ, exllamav2, or Half-Quadratic Quantization (HQQ). ### When should I choose DeepLearningExamples over pratical-llms? Choose DeepLearningExamples over pratical-llms when Tags unique to DeepLearningExamples: computer-vision, deep-learning, drug-discovery, forecasting; The NVIDIA GPU Cloud (NGC) Container Registry that integrates with this tool offers the latest updates every month along with rigorous quality assurance; More GitHub stars (15k vs 53) - visibility, not fit. ### When should I avoid pratical-llms? If you seek deep theoretical insights rather than practical implementation details. For users looking for commercial support as this repository does not provide it, unlike some competitors. ### 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 ### Is pratical-llms or DeepLearningExamples more popular on GitHub? DeepLearningExamples has more GitHub stars (14,844 vs 53). Stars measure visibility, not whether either tool fits your constraints. ### Are pratical-llms and DeepLearningExamples open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to pratical-llms or DeepLearningExamples? GraphCanon lists graph-backed alternatives at [pratical-llms alternatives](/tools/antoniogr7-pratical-llms/alternatives) and [DeepLearningExamples alternatives](/tools/nvidia-deeplearningexamples/alternatives) ([pratical-llms markdown twin](/tools/antoniogr7-pratical-llms/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/antoniogr7-pratical-llms-vs-nvidia-deeplearningexamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pratical-llms or DeepLearningExamples? pratical-llms: Dormant. 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 pratical-llms and DeepLearningExamples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pratical-llms trust report](/tools/antoniogr7-pratical-llms/trust); [DeepLearningExamples trust report](/tools/nvidia-deeplearningexamples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=antoniogr7-pratical-llms`](/api/graphcanon/graph?tool=antoniogr7-pratical-llms) - 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/_