https://github.com/csinva/transformation-importance

Using / reproducing TRIM from the paper "Transformation Importance with Applications to Cosmology" 🌌 (ICLR Workshop 2020)
https://github.com/csinva/transformation-importance

ai artificial-intelligence attribution data-science deep-learning deep-neural-networks explainability explainable-ai feature-engineering feature-importance frequency-domain interpretability interpretation machine-learning ml neural-network pytorch transform transformation wavelet-analysis

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Using / reproducing TRIM from the paper "Transformation Importance with Applications to Cosmology" 🌌 (ICLR Workshop 2020)

• Host: GitHub
• URL: https://github.com/csinva/transformation-importance
• Owner: csinva
• License: mit
• Created: 2019-11-19T04:17:42.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-12-16T18:07:35.000Z (almost 4 years ago)
• Last Synced: 2023-10-10T08:31:34.444Z (12 months ago)
• Topics: ai, artificial-intelligence, attribution, data-science, deep-learning, deep-neural-networks, explainability, explainable-ai, feature-engineering, feature-importance, frequency-domain, interpretability, interpretation, machine-learning, ml, neural-network, pytorch, transform, transformation, wavelet-analysis
• Language: Jupyter Notebook
• Homepage: https://arxiv.org/abs/2003.01926
• Size: 75.6 MB
• Stars: 8
• Watchers: 6
• Forks: 1
• Open Issues: 1

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