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One Stop For Covid 19 Infection And Lung Segmentation Plus Classification ⭐ 38

✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation

Plant Disease ⭐ 11

Code for the paper On Using Transfer Learning For Plant Disease Detection

Study 09 Machinelearning A ⭐ 10

With some projects to develop "TOOLs" for better Modeling

Mlscorecheck ⭐ 8

Testing the consistency of binary classification performance scores reported in papers

Ml Tool Wear ⭐ 5

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

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