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https://github.com/tensorflow/lucid
A collection of infrastructure and tools for research in neural network interpretability.
https://github.com/tensorflow/lucid
colab interpretability jupyter-notebook machine-learning tensorflow visualization
Last synced: about 1 month ago
JSON representation
A collection of infrastructure and tools for research in neural network interpretability.
- Host: GitHub
- URL: https://github.com/tensorflow/lucid
- Owner: tensorflow
- License: apache-2.0
- Archived: true
- Created: 2018-01-25T17:41:44.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-02-06T16:41:16.000Z (about 2 years ago)
- Last Synced: 2025-01-16T02:10:59.501Z (about 1 month ago)
- Topics: colab, interpretability, jupyter-notebook, machine-learning, tensorflow, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 141 MB
- Stars: 4,683
- Watchers: 158
- Forks: 656
- Open Issues: 85
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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- awesome-production-machine-learning - tensorflow's lucid - Lucid is a collection of infrastructure and tools for research in neural network interpretability. (Explaining Black Box Models and Datasets)
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- awesome-mlops - Lucid - Collection of infrastructure and tools for research in neural network interpretability. (Model Interpretability)
- awesome-python-machine-learning-resources - GitHub - 42% open · ⏱️ 19.03.2021): (模型的可解释性)