Jonathan-Pearce / calibration-toolbox
NumPy library for calibration metrics
☆72Updated 2 months ago
Alternatives and similar repositories for calibration-toolbox
Users that are interested in calibration-toolbox are comparing it to the libraries listed below
Sorting:
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆139Updated last year
- ☆107Updated last year
- ☆45Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 2 years ago
- Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"☆22Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- ☆35Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- ☆58Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 2 months ago
- Combating hidden stratification with GEORGE☆63Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆150Updated 3 years ago
- ☆21Updated 2 years ago
- [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…☆33Updated 2 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆53Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆34Updated last year
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- Calibration of Convolutional Neural Networks☆163Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- ☆39Updated last year
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- ☆46Updated 4 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆93Updated 6 months ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆48Updated 9 months ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago