dirichletcal / dirichlet_python
☆27Updated 7 months ago
Alternatives and similar repositories for dirichlet_python:
Users that are interested in dirichlet_python are comparing it to the libraries listed below
- Combating hidden stratification with GEORGE☆63Updated 3 years ago
- NumPy library for calibration metrics☆69Updated last month
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 years ago
- Reusable BatchBALD implementation☆78Updated last year
- Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"☆21Updated 2 years ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆137Updated last year
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆146Updated 2 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 2 years ago
- ☆21Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆203Updated 9 months ago
- ☆62Updated 3 years ago
- ☆34Updated 4 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 2 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆81Updated 3 weeks ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- ☆44Updated 2 years ago
- ☆58Updated 3 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆356Updated 7 months ago
- Code release for the paper Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning☆30Updated 2 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆96Updated 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
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆107Updated last year
- ☆137Updated last year
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆227Updated 3 years ago