Projects Tagged with TensorRT for GPU-Accelerated, Low-Latency Deep Learning Inference and ONNX-to-TensorRT Optimization
Explore projects tagged with TensorRT that demonstrate GPU-accelerated inference, ONNX-to-TensorRT conversion, FP16 and INT8 quantization, and model optimization techniques for production-grade, low-latency deployment. This curated list of projects explains how the projects nav uses the tags pillar to surface practical implementations, benchmarked performance metrics, containerized and edge deployment patterns, and integration tips for PyTorch and TensorFlow models. Use the filtering UI to narrow by framework, deployment target, or optimization strategy, compare latency and throughput, review code and CI/CD examples, and take action to clone, benchmark, or contribute—start exploring these TensorRT projects to accelerate inference in your applications.
