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

A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

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

Pytorch to Keras/Tensorflow/TFLite conversion made intuitive

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 TensorFlow Lite converter

Convert TensorFlow Lite models (*.tflite) to ONNX.

Converting A PyTorch Model to Tensorflow pb using 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.