Use Customvision.AI service in Xamarin Form project
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Updated
Aug 30, 2019 - C#
Use Customvision.AI service in Xamarin Form project
My repo of Jupyter Notebooks
A Compilation of all MIVisionX applications available open-source
Sudoku solver using OpenCV’s DNN
Garbage image classification using PyTorch transfer learning pretrained model Resnet152 with FastAPI for API based application.
The repository contains examples of serializing deserializing different ML models using Open Neural Network Exchange (ONNX).
my engineering final project: development of visual inpection system for water bottle based on deep learning (transfer learning)
ONNX model and Docker service for https://github.com/7eu7d7/ML-Danbooru
This repo provides scripts for fine-tuning HuggingFace Transformers, setting up pipelines and optimizing multi-label classification models for inference. They are based on my experience developing a custom chatbot, I’m sharing these in the hope they will help others to quickly fine-tune and use models in their projects! 😊
Building intelligent apps with OpenShift by using workbenches and model servers to build, train and serve AI Models, integrate them into applications, all running on the simple unified platform.
Pre-trained image models using ONNX for fast, out-of-the-box inference.
Evaluation for object detection models
ArtDetectiveAI is an AI model trained on a Jetson Nano that specializes in detecting whether art is AI created or human created.
Inference Focused Library - Onnx Models -> IR -> Hardware Instructions
Add a description, image, and links to the onnx topic page so that developers can more easily learn about it.
To associate your repository with the onnx topic, visit your repo's landing page and select "manage topics."