dirichletcal / dirichlet_pythonLinks
☆29Updated 3 months ago
Alternatives and similar repositories for dirichlet_python
Users that are interested in dirichlet_python are comparing it to the libraries listed below
Sorting:
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆366Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 2 years ago
- NumPy library for calibration metrics☆73Updated 7 months ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆578Updated last year
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆237Updated 3 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Reliability diagrams visualize whether a classifier model needs calibration☆158Updated 3 years ago
- ☆470Updated 5 months ago
- ☆139Updated last year
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆342Updated 2 years ago
- ☆208Updated 2 years ago
- Optimal Transport Dataset Distance☆170Updated 3 years ago
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year
- Enabling easy statistical significance testing for deep neural networks.☆337Updated last year
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆188Updated 3 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆144Updated 2 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 3 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆316Updated 3 months ago
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- Original dataset release for CIFAR-10H☆83Updated 4 years ago
- Domain adaptation made easy. Fully featured, modular, and customizable.☆386Updated 2 years ago
- ☆122Updated 3 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆154Updated 2 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics☆205Updated 3 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆37Updated 4 years ago