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Google Colab Notebooks

This repository contains Google Colab Notebooks for simple ML/DL Models experiments. The primary target is Model Inference.

Create Models

  • These script can be used as reference for creating Operator/Layer level models for unit level testing of Inference Software
    • create_onnx_model.ipynb - Export ONNX model using Pytorch
    • define_onnx_model.ipynb - Define ONNX model using onnx.helper
    • create_tflite_model.ipynb

Run Inference on Pre-trained Models

  • These scripts can be used as reference for developing inference software for Pretrained DL models.
    • infer_caffe.ipynb
    • infer_ort.ipynb
    • infer_tflite.ipynb

Save Models Pre-Trained Weights

  • These scripts can be used as reference for saving onnx/tflite models from public domain model hubs.
    • save_keras_model.ipynb
    • save_timm_model.ipynb
    • save_torchvision_model.ipynb

Notebooks for Training Models

Other useful Colab Notebooks

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