JeremyNixon / uncertainty-metrics-1Links
An easy-to-use interface for measuring uncertainty and robustness.
☆15Updated 4 years ago
Alternatives and similar repositories for uncertainty-metrics-1
Users that are interested in uncertainty-metrics-1 are comparing it to the libraries listed below
Sorting:
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 5 months ago
- Reliability diagrams visualize whether a classifier model needs calibration☆160Updated 3 years ago
- NumPy library for calibration metrics☆73Updated last month
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆24Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆145Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆45Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆56Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆273Updated 3 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Updated 5 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- ☆10Updated 2 years ago
- Human-AI Deferral Evaluation Benchmark (Learning to Defer) AISTATS23☆21Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- Deep Batch Active Learning for Regression☆71Updated last year
- ☆38Updated 5 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 3 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 4 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆70Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago