https://github.com/satvikpraveen/fashionmnist-analysis

A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
https://github.com/satvikpraveen/fashionmnist-analysis

computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg

Last synced: about 23 hours ago
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A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.

• Host: GitHub
• URL: https://github.com/satvikpraveen/fashionmnist-analysis
• Owner: SatvikPraveen
• License: mit
• Created: 2024-11-18T03:13:59.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-23T16:06:43.000Z (2 months ago)
• Last Synced: 2024-12-02T16:27:02.932Z (about 2 months ago)
• Topics: computer-vision, confusion-matrix, convolutional-neural-networks, deep-learning-algorithms, exploratory-data-analysis, fashion-mnist-dataset, fine-tuning, hyperparameter-tuning, image-classification, jupyter-notebook, machine-learning-algorithms, matplotlib-pyplot, model-evaluation, numpy, pandas, pytorch, resnet-18, scikit-learn, seaborn, vgg
• Language: Jupyter Notebook
• Homepage:
• Size: 85.3 MB
• Stars: 0
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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