ML-deployment

• repo for deploy ML model
• Not focusing on enhance accuracy but on deploying model

Building ML Powered App: Going from Idea to Product	TinyML: ML with TFLite on Android and Ultra-Low-Power Microcontrollers	Practical DL for Cloud, Mobile, and Edge

1. Website deployment

Test here

branch website

2. Converting Pytorch to Tensorflow

1. convert pytorch params and models to onnx format (with pytorch model)
2. onnx file to checkpoint meta file of tensorflow
3. meta to tensorflow protbuf

You can find whole the code here: Colab

branch onnx

---

Reference

• Medium: Running pytorch models in production
  • Reddit : Deploying Pytorch models using Tensorflow Serving
• Medium: Converting a Simple Deep Learning Model from PyTorch to TensorFlow
• Stackoverflow: How do I change the Signatures of my SavedModel without retraining the model?
• Migrate your tensorflow from 1.x to 2.x
• Serving tensorflow model
• ResearchGate: How to connect AWS to an android app?
• AWS: Android Sagemaker developer resources