---
title: "llm-course vs DeepLearningExamples"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/mlabonne-llm-course-vs-nvidia-deeplearningexamples"
tools: ["mlabonne-llm-course", "nvidia-deeplearningexamples"]
---

# llm-course vs DeepLearningExamples

Neutral, constraint-first comparison with live GitHub stats.

| | [llm-course](/tools/mlabonne-llm-course.md) | [DeepLearningExamples](/tools/nvidia-deeplearningexamples.md) |
| --- | --- | --- |
| Tagline | Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. | State-of-the-Art Deep Learning scripts organized by models for easy training and deployment with reproducible accuracy on NVIDIA GPUs. |
| Stars | 80,727 | 14,827 |
| Forks | 9,408 | 3,406 |
| Open issues | 84 | 323 |
| Language | - | Jupyter Notebook |
| License | Apache-2.0 | - |
| Categories | LLM Frameworks, Developer Tools | Developer Tools, Computer Vision |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=mlabonne-llm-course`](/api/graphcanon/graph?tool=mlabonne-llm-course)
- 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/_