{"id":24144809,"url":"https://github.com/noopur-zambare/nc_pruning","last_synced_at":"2026-05-08T23:15:14.736Z","repository":{"id":267407757,"uuid":"900160820","full_name":"noopur-zambare/nc_pruning","owner":"noopur-zambare","description":"Dense network pruning algorithm inspired from Neural Collapse geometry","archived":false,"fork":false,"pushed_at":"2024-12-23T17:39:08.000Z","size":12742,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-01T15:14:07.475Z","etag":null,"topics":["deep-learning","robust-machine-learning","statistics","trustworthy-ai"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Dense Network Pruning using Neural Collapse under Imbalanced Dataset\n\n#### Install the required dependencies\n```\npip install -r requirements.txt\n```\n\n####  To run the code\n```\npython3 main.py\n```\n\nWe have also provided a ipynb file for easy execution.\n\n\n## Results\n\u003ctable align=\"center\"\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e\n      \u003ch4\u003eTesting Pruned Model\u003c/h4\u003e\n      \u003cimg src=\"https://github.com/noopur-zambare/nc_pruning/blob/main/results/testing_without_noise/10%25.png\" alt=\"Testing Pruned Model 1\" title=\"Testing Pruned Model\" width=\"100%\"\u003e\n    \u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\n      \u003ch4\u003eTesting Pruned Model with Noisy Data\u003c/h4\u003e\n      \u003cimg src=\"https://github.com/noopur-zambare/nc_pruning/blob/main/results/testing_with_noise/10%25.png\" alt=\"Testing Pruned Model with Noisy Data\" title=\"Testing Pruned Model with Noisy Data\" width=\"100%\"\u003e\n    \u003c/td\u003e\n  \u003c/tr\u003e\n\u003c/table\u003e\n\n\n\n\n```\nFolder Structure\n├── logs\n│   ├── testing_with_noise\n│   ├── testing_without_noise\n├── results\n│   ├── testing_with_noise\n│   ├── testing_without_noise\n├── main.py\n├── pruning.py\n├── sensitivity_analysis.py\n├── README.md\n├── requirements.txt\n└── main.ipynb\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoopur-zambare%2Fnc_pruning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoopur-zambare%2Fnc_pruning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoopur-zambare%2Fnc_pruning/lists"}