Introduction to Generative Adversarial Networks
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Updated
Oct 22, 2020 - Jupyter Notebook
Introduction to Generative Adversarial Networks
Helping build fair, safe, ethical, and RIGHT General Artificial Intelligence and helping to introduce humanity to (RG)AI through the magic of Music :)
Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
colab-ssh-ngrok 📦🚀 is opensource lightweight module for connect google colab ⚙️ notebook backend via ngrok
This project develops a machine learning model to predict incident groups based on data from the London Fire Brigade service calls. Using Python and the Google Colab environment, the model utilizes a Gradient Boosting Classifier to categorize incidents, improving resource allocation and incident response within the London Fire Brigade.
Recommend proper foods for diabetic patients in the context of nutrition and food characteristics by developing a machine learning based intelligent mobile application
Prediction of flower species given its image
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