classifier-calibration / PyCalibLinks
Python library for classifier calibration
☆20Updated last year
Alternatives and similar repositories for PyCalib
Users that are interested in PyCalib are comparing it to the libraries listed below
Sorting:
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 2 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- A benchmark for distribution shift in tabular data☆56Updated last year
- Reliability diagrams visualize whether a classifier model needs calibration☆159Updated 3 years ago
- An amortized approach for calculating local Shapley value explanations☆102Updated last year
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆250Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- For calculating global feature importance using Shapley values.☆278Updated last week
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- ☆18Updated 5 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- Conformalized Quantile Regression☆290Updated 3 years ago
- Uncertainty-aware classification.☆17Updated 3 years ago
- Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.☆15Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated 11 months ago
- ☆109Updated 4 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- NumPy library for calibration metrics☆73Updated 3 weeks ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 7 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 5 years ago
- ☆58Updated last year
- Awesome Domain Adaptation Python Toolbox☆353Updated last year
- ☆239Updated 5 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆69Updated 5 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year