yolov5-tensorrt VS TensorRT

Compare yolov5-tensorrt vs TensorRT and see what are their differences.

yolov5-tensorrt

Real-time object detection with YOLOv5 and TensorRT (by noahmr)

TensorRT

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT (by pytorch)
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yolov5-tensorrt TensorRT
1 5
83 2,340
- 3.7%
10.0 9.5
about 2 years ago 2 days ago
C++ Python
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

yolov5-tensorrt

Posts with mentions or reviews of yolov5-tensorrt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

TensorRT

Posts with mentions or reviews of TensorRT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

What are some alternatives?

When comparing yolov5-tensorrt and TensorRT you can also consider the following projects:

torch2trt - An easy to use PyTorch to TensorRT converter

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

cutlass - CUDA Templates for Linear Algebra Subroutines

onnx-simplifier - Simplify your onnx model

TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

transformer-deploy - Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

jetson - Self-driving AI toy car 🤖🚗.

vision - Datasets, Transforms and Models specific to Computer Vision

mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

functorch - functorch is JAX-like composable function transforms for PyTorch.

sparsednn - Fast sparse deep learning on CPUs