ENSTA-U2IS-AI/awesome-uncertainty-deeplearning

• highreadme#1

  Reposition README opening to clarify it's an "awesome list" of resources

  原因：

  当前

  This repo is a collection of *awesome* papers, codes, books, and blogs about Uncertainty and Deep learning.

  复制粘贴的修复

  复制

  This *awesome list* is a curated collection of papers, codes, books, and blogs about Uncertainty and Deep learning, serving as a comprehensive resource for researchers and practitioners.

  待办完成忽略
• mediumtopics#2

  Add "awesome-list" and "resource-collection" to topics

  原因：

  当前

  awesome, awesome-resources, deep-learning, deep-learning-tutorials, deep-neural-networks, machine-learning, uncertainty-analysis, uncertainty-estimation, uncertainty-neural-networks, uncertainty-quantification

  复制粘贴的修复

  复制

  awesome, awesome-resources, awesome-list, resource-collection, deep-learning, deep-learning-tutorials, deep-neural-networks, machine-learning, uncertainty-analysis, uncertainty-estimation, uncertainty-neural-networks, uncertainty-quantification

  待办完成忽略
• lowreadme#3

  Add a "Who is this for?" section to the README

  原因：

  复制粘贴的修复

  复制

  <h2>Who is this for?</h2>
  
  This awesome list is primarily for researchers, students, and practitioners interested in predictive uncertainty estimation in deep learning models. It serves as a comprehensive starting point for exploring surveys, datasets, papers, and code in this specialized field.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Where can I find resources on estimating predictive uncertainty in deep learning models?

  你：未被推荐
  AI 推荐顺序：

  1. Keras (keras-team/keras)
  2. Scikit-Learn (scikit-learn/scikit-learn)
  3. TensorFlow (tensorflow/tensorflow)
  4. TensorFlow Probability (tensorflow/probability)
  5. PyTorch Lightning (Lightning-AI/lightning)
  6. Pyro (pyro-ppl/pyro)

  AI 推荐了 6 个替代方案，却始终没点名 ENSTA-U2IS-AI/awesome-uncertainty-deeplearning。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are effective methods for quantifying uncertainty in neural network predictions?

  你：未被推荐
  AI 推荐顺序：

  1. Pyro
  2. TensorFlow Probability
  3. PyTorch-Quantile-Regression
  4. PyTorch
  5. TensorFlow
  6. nonconformist
  7. MAPIE

  AI 推荐了 7 个替代方案，却始终没点名 ENSTA-U2IS-AI/awesome-uncertainty-deeplearning。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of ENSTA-U2IS-AI/awesome-uncertainty-deeplearning?

  pass
  ⚠AI 未点名 ENSTA-U2IS-AI/awesome-uncertainty-deeplearning —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts ENSTA-U2IS-AI/awesome-uncertainty-deeplearning in production, what risks or prerequisites should they evaluate first?

  pass
  ⚠AI 未点名 ENSTA-U2IS-AI/awesome-uncertainty-deeplearning —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo ENSTA-U2IS-AI/awesome-uncertainty-deeplearning solve, and who is the primary audience?

  pass
  ⚠AI 未点名 ENSTA-U2IS-AI/awesome-uncertainty-deeplearning —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？