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This GitHub repository contains converted models in ONNX, TensorRT, and PyTorch formats, along with inference scripts and demos. These models can be used for efficient deployment and inference in machine learning applications.

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model-zoo

Welcome to the onnx-model-zoo repository! This repo hosts a collection of machine learning models converted into ONNX, TensorRT and PyTorch formats, along with ready-to-use inference scripts and comprehensive demonstration code.

🔥 Key Features:

  • Explore a variety of popular models in multiple formats for efficient inference.
  • Access sample inference scripts for each model to jumpstart your projects.
  • Dive into complete end-to-end demos showcasing model integration in real-world scenarios.

💡 Why Use This Repository? Whether you're optimizing model deployment, benchmarking performance, or exploring inference strategies, this repository has you covered. Save time with pre-converted models and gain insights from ready-to-run demos.

🧠 Models

Index Model Name Original URL ONNX FP32 FP16 INT8 TF-TRT LICENCE
01 MiVOLO 🌐🌐🌐🌐🌐 ✔️ ✔️ Other
python inference.py

<b>Output</b>

🤝 Contributing:

We welcome contributions! Help us expand the repository by adding new models, enhancing scripts, and sharing your use cases.

📝 License:

This repository is licensed under the MIT License and for Model which you use please check the corresponding Licence.

📬 Contact:

Have questions or suggestions? Reach out to us at hiren@weboccult.com or connect on social media.

Start accelerating your model inference today with the onnx-model-zoo Repository!

Citations

@article{mivolo2023,
   Author = {Maksim Kuprashevich and Irina Tolstykh},
   Title = {MiVOLO: Multi-input Transformer for Age and Gender Estimation},
   Year = {2023},
   Eprint = {arXiv:2307.04616},
}

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This GitHub repository contains converted models in ONNX, TensorRT, and PyTorch formats, along with inference scripts and demos. These models can be used for efficient deployment and inference in machine learning applications.

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