Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

A image classifier that classifies whether a galaxy is spiral, elliptical, or irregular. Built using Tensorflow v2 and Google's inception v3 model.

In this repo, we would see how to handle streaming data using "creme" library

Retrain an existing COCO model, and output it with Tensorflow Lite. Shows how to do quantization so you can use it with for example Coral USB Accelerator.

Demonstrate training, testing, and retraining ML/DL models with TensorFlow and Keras with an extra GUI by Qt5

Enhancing electricity price forecasting accuracy using a hybrid model combining GRU and XGBoost with detection-informed retraining for concept drift.

This template uses voting for combining classifiers and it shows how to use the backtester with retraining option.

Dokumentation der Projektarbeit im Rahmen der Umschulung Fachinformatiker:in Anwendungsentwicklung