NVIDIA/DeepLearningExamples resource

Health v2 · maintenance only

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Adoption not part of the score

14840 stars · 3411 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of state-of-the-art deep learning model training and deployment scripts from NVIDIA, organized by model and optimized for Tensor Cores on NVIDIA GPUs. It covers computer vision, NLP, speech, recommendation, and forecasting models across PyTorch, TensorFlow, and other frameworks.

Use cases

• train a model with best performance on NVIDIA GPUs
• deploy deep learning models with TensorRT and Triton
• find reference implementations of state-of-the-art models
• reproduce benchmark accuracy for models like BERT or EfficientNet
• learn how to optimize training with mixed precision and multi-GPU

When to choose

• you need NVIDIA-optimized reference implementations for training or deploying models
• you want reproducible high-performance examples on Volta, Turing, or Ampere GPUs
• you need multi-GPU or multi-node training recipes

When to avoid

• you need a production-ready library or API rather than example scripts
• you train on non-NVIDIA hardware
• you need a permissively licensed dependency - the repo has no explicit license

Facets

learning-resource · maturity active

deep-learning machine-learning llm-training benchmarking deep-learning machine-learning computer-vision large-language-models gpu-computing python nvidia tensor-cores pytorch tensorflow model-training inference triton tensorrt example-scripts gpu docker linux

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markdown · JSON · MCP: product_card(name="NVIDIA/DeepLearningExamples")