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Educational Implementation · Jupyter Notebook

nets_mod

What it is

This repository consists of Jupyter notebooks from a machine learning course (COSC_750) that walk through image classification and regression tasks using PyTorch, with an emphasis on educational explanations and step-by-step TODOs. Only one notebook shows executed cells, while the others depend on missing external files and data.

Scored ateed76ea11 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

  • Machine Learning80%
  • Computer Vision60%
  • Data Science40%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

What the judge found

Read from the project's code at its scored commit.

Strengths2

  • The first notebook provides a clear, commented example of transfer learning for image classification with a training loop and utility functions.
  • The notebooks are well-structured for educational purposes with TODOs and explanations that guide learners through each step.

Limitations

The owner keeps this project's limitations private.

Around it on the Machine Learning board

Whole board
  1. 123patch-convolutional-vision-transformerArchitecture Modification / Research · Python43.3/100ImplementationSuceveanu Mircea Dan Sandu
  2. 124, shared rankmachine-learning-projectsML Application · Jupyter Notebook43.1/100ImplementationPop Alexandru
  3. 124, shared ranknets_modEducational Implementation · Jupyter Notebook43.1/100ImplementationJames
  4. 126HTB-Lost-in-Hyperspace-WriteupEducational Implementation · Jupyter Notebook42.9/100ImplementationPop Alexandru
  5. 127Garbage-classifierML Application · Jupyter Notebook42.6/100Implementationkamran akmal

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