js05212/BayesianDeepLearning-Survey

• highreadme#1

  Clarify README's opening to emphasize 'survey/resource list' nature

  Why:

  CURRENT

  This is an updating survey for Bayesian Deep Learning (BDL), an constantly updated and extended version for the manuscript, 'A Survey on Bayesian Deep Learning', published in **ACM Computing Surveys** 2020.

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  This repository provides an actively updated and extended survey of Bayesian Deep Learning (BDL), serving as a comprehensive resource and curated collection of papers. It is the online companion to 'A Survey on Bayesian Deep Learning', published in **ACM Computing Surveys** 2020.

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• highlicense#2

  Add a LICENSE file to the repository

  Why:

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  Create a `LICENSE` file in the repository root, specifying the chosen open-source license (e.g., MIT, Apache-2.0, CC-BY-4.0 for content).

  OpenDoneDismiss
• mediumhomepage#3

  Add a homepage URL to the repository's 'About' section

  Why:

  COPY-PASTE FIX

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  Add `http://wanghao.in/BDL.html` as the homepage URL in the repository settings.

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

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• CATEGORY QUERY

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• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of js05212/BayesianDeepLearning-Survey?

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  ⚠AI did not name js05212/BayesianDeepLearning-Survey — likely talking about a different project

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• If a team adopts js05212/BayesianDeepLearning-Survey in production, what risks or prerequisites should they evaluate first?

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  ✓AI named js05212/BayesianDeepLearning-Survey explicitly

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• In one sentence, what problem does the repo js05212/BayesianDeepLearning-Survey solve, and who is the primary audience?

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  ⚠AI did not name js05212/BayesianDeepLearning-Survey — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?