MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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)

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

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

A very simple tool that compresses the overall size of the ONNX model by aggregating duplicate constant values as much as possible.

Convert simple Keras models to pure Python 🐍+ NumPy

Exports the ONNX file to a JSON file and JSON dict.

Convert tflite to JSON and make it editable in the IDE. It also converts the edited JSON back to tflite binary.

Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel order of RGB and BGR. Simple Channel Converter for ONNX.

Converts a JSON file to an ONNX file.

Simple tool to combine(merge) onnx models. Simple Network Combine Tool for ONNX.