Pytorch code for multi-Instance multi-label problem
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Updated
Mar 8, 2019 - Jupyter Notebook
Pytorch code for multi-Instance multi-label problem
Developed phase recognition models based on MobileNetV2 to classify frames from Hernia surgery videos.
Light js package to compute several data science formulas
Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.
Machine learning projects done for micro credential in data science course
This notebook shows how the f1 metric differs accuracy on imbalanced data. The heart disease dataset from kaggle is used (https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease).
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