In this Repository, I collect Orange3 examples and python scripts for Intelligent Adaptive Systems.
The python code can be executed in cells like in Jupyter Notebooks. The Orange3 examples can be executed in Orange3.
classification.py shows a simple classification example in interactive Python.
regression.py shows a simple regression example in interactive Python.
clustering.py shows a simple clustering example in interactive Python.
train_metal.py shows a simple example classifying digits in interactive Python on the MNIST dataset, using a neural network and acceleration on the GPU (on Macs with Metal).
bentoml_service.py shows a simple example classifying digits in interactive Python on the MNIST dataset, using a neural network and acceleration on the GPU (on Macs with Metal), and exporting the model as a BentoML service, which then can be used by a REST API and a streamlit web app.
streamlit_app/streamlit_mnist.py shows a streamlit web app for the MNIST classification example, accessing the BentoML service.
Open in DevContainer (pip requirements already installed).
python train_metal.py
python bentoml_service.py