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1. papers papers Public

   I categorize, annotate and write comments for all research papers I read (460+ papers since 2018).

   403 55

2. regression_uncertainty regression_uncertainty Public

   Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.

   Python 18 1

3. ebms_proposals ebms_proposals Public

   Official implementation of "Learning Proposals for Practical Energy-Based Regression", AISTATS 2022.

   Python 11 2

4. ebms_3dod ebms_3dod Public

   Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.

   Python 59 10

5. ebms_regression ebms_regression Public

   Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).

   Jupyter Notebook 96 18

6. evaluating_bdl evaluating_bdl Public

   Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

   Python 131 30