Random stuff I've been working on
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Jan 12, 2024 - Jupyter Notebook
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probability-calibration
Here are 11 public repositories matching this topic...
Local Temperature Scaling for Probability Calibration
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Nov 26, 2021 - Python
Non-Parametric Calibration for Classification (AISTATS 2020)
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Feb 3, 2022 - Python
This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.
machine-learning bayesian-methods classification imbalanced-data creditcard-fraud probability-calibration
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Dec 3, 2024 - Python
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May 10, 2021 - Jupyter Notebook
A simple yet effective post-processing method for detecting unknown intent in dialogue systems based on pre-trained deep neural network classifiers
deep-neural-networks outlier-detection dialogue-systems probability-calibration novelty-detection platt-scaling intent-discovery open-world-classification
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Apr 25, 2019 - Python
My Master's thesis on Bayesian Classification with Regularized Gaussian Models
regularization bayes-classifier covariance-matrix gaussian-models boosting shrinkage probability-calibration
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Dec 27, 2015 - R
Code for the internship report. Sample × Category Probability Calibration in Two Dimensions.
deep-learning image-classification uncertainty-quantification evaluation-metrics probability-calibration
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Apr 16, 2021 - Jupyter Notebook
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Jun 11, 2021 - Jupyter Notebook
UQ4DD: Uncertainty Quantification for Drug Discovery
deep-learning drug-discovery uncertainty-quantification probability-calibration molecular-property-prediction
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Nov 14, 2024 - Python
Code and experiments for the preprint: "Bayesian Neural Network Versus Ex-Post Calibration For Capturing Prediction Uncertainty".
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Oct 6, 2022 - Python
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