NVIDIA/trt-samples-for-hackathon-cn resource

Health v2 · maintenance only

Adoption not part of the score

1666 stars · 351 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An NVIDIA-maintained tutorial repository for TensorRT beginners and developers, containing a 'cookbook' of rich code examples covering API usage, model building, plugin writing, and graph optimization, plus annual China TensorRT Hackathon materials. It also links to video tutorial slides and datasets.

Use cases

• learn TensorRT from scratch with code examples
• build and run models with TensorRT native APIs or parsers
• write custom TensorRT plugins
• optimize computation graphs for GPU inference
• find reference implementations from TensorRT Hackathon competitions
• accelerate deep learning model inference on NVIDIA GPUs

When to choose

• you are a beginner learning TensorRT inference optimization
• you need concrete code samples for TensorRT APIs, parsers, or plugin development
• you want hackathon reference implementations for optimizing classic models

When to avoid

• you need a production inference serving framework rather than learning samples
• you use non-NVIDIA hardware or runtimes like ONNX Runtime or OpenVINO
• you need training frameworks rather than inference optimization

Facets

learning-resource · maturity active

machine-learning deep-learning gpu-computing developer-tools deep-learning gpu-computing tutorials developer-tools python cross-platform tensorrt nvidia inference-optimization hackathon code-samples cookbook model-deployment gpu linux

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