There are 3 repositories under model-converter topic.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
OpenMMLab Model Deployment Framework
TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)
Export Hugging Face models to Core ML and TensorFlow Lite
A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.
Pytorch to Keras/Tensorflow/TFLite conversion made intuitive
PyTorch to TensorFlow Lite converter
Converting A PyTorch Model to Tensorflow pb using ONNX
Convert TensorFlow Lite models (*.tflite) to ONNX.
A keras h5df to ncnn model converter
Convert tflite to JSON and make it editable in the IDE. It also converts the edited JSON back to tflite binary.
This repository shows how to import a pretrained TensorFlow model in the SavedModel format, and use the imported network to classify an image.
Files for A simple tutorial about Caffe-TensorFlow model conversion