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data-preprocessing-and-augmentation

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amadou-6e / pymimic3

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Pymimic3 is a scalable experimentation platform for MIMIC-III, featuring ready-to-run models, fully tested utilities for concept drift research, and a parallelized, configurable data pipeline.

machine-learning neural-networks data-preprocessing mimic-iii parallel-processing concept-drift machine-learning-models medical-data machine-learning-projects medical-dataset neural-networks-and-deep-learning clinical-informatics medical-datasets healthcare-ai data-preprocessing-pipelines medical-data-analysis concept-drift-detection data-preprocessing-and-augmentation
  • Updated Oct 30, 2024
  • Jupyter Notebook

thendralmagudapathi / Live-Fire-Smoke-Classifier-using-OpenCV

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The live fire and smoke classifier is developed using Pytorch and Opencv that are trained using the 3 Channels images of fire, smoke and neutral environments. Achieving 75% accuracy, the model accurately identifies these elements in various scenes

open-source opencv computer-vision pytorch object-detection resnet-50 image-normalization safety-systems data-preprocessing-and-augmentation
  • Updated Apr 16, 2024
  • Jupyter Notebook

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