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GitHub / HROlive / Introduction-to-Explainable-Deep-Learning-on-Supercomputers

A solid foundational understanding of XAI, primarily emphasizing how XAI methodologies can expose latent biases in datasets and reveal valuable insights.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HROlive%2FIntroduction-to-Explainable-Deep-Learning-on-Supercomputers

Stars: 1
Forks: 1
Open issues: 0

License: cc-by-4.0
Language: Jupyter Notebook
Size: 60.7 MB
Dependencies parsed at: Pending

Created at: 11 months ago
Updated at: 8 months ago
Pushed at: 11 months ago
Last synced at: about 2 months ago

Topics: attention, attention-maps, convolutional-neural-networks, deep-learning, explainable-ai, lime, machine-learning, permutation-importance, python, shap, transformer, visual-transformers

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