llm-course vs DeepLearningExamples
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| llm-course | DeepLearningExamples | |
|---|---|---|
| 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 | 81k | 15k |
| Forks | 9.4k | 3.4k |
| Open issues | 84 | 323 |
| Language | - | Jupyter Notebook |
| License | Apache-2.0 | - |
| Last pushed | Feb 5, 2026 | Aug 12, 2024 |
| Categories | LLM Frameworks, Developer Tools | Developer Tools, Computer Vision |
llm-course
This repository features a course on LLMs, divided into foundational knowledge, scientific development of models, and engineering applications. It includes interactive Colab notebooks for practical learning and deployment of LLM technologies.
DeepLearningExamples
NVIDIA/DeepLearningExamples repository is a collection of deep learning examples designed to achieve high performance and accuracy when trained and deployed using Nvidia's CUDA-X stack on Nvidia GPU infrastructure. It covers various domains and frameworks including PyTorch, TensorFlow, MXNet, and more.
Jupyter Notebook