There are 1 repository under model-conversion topic.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Convert 3d model (STL/IGES/STEP/OBJ/FBX) to gltf and compression
Pytorch to Keras/Tensorflow/TFLite conversion made intuitive
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.
This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model.
Serving YOLOv8 detection model with tf-serving
The Json.NET Interface Converter/Mapper is a JsonConverter attribute that allows interfaces to be mapped to concrete implementations of those interfaces for use when deserializing an object.
Objective of this repo is to help under understand ONNX and ONNX runtime and how it can plugged in your project for deploying your custom trained model on different platforms.
A flexible utility for converting tensor precision in PyTorch models and safetensors files, enabling efficient deployment across various platforms.
Web service to convert saved model format from Tensorflow to TensorflowJS JSON models. Not deployed anywhere yet ...