dougbrion / pytorch-classification-uncertaintyLinks
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
☆489Updated last year
Alternatives and similar repositories for pytorch-classification-uncertainty
Users that are interested in pytorch-classification-uncertainty are comparing it to the libraries listed below
Sorting:
- ☆420Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆144Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆182Updated last year
- 👽 Out-of-Distribution Detection with PyTorch☆310Updated 2 months ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆493Updated 4 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆631Updated 3 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆154Updated 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 …☆365Updated last year
- Awesome Active Learning Paper List☆143Updated last year
- Domain adaptation made easy. Fully featured, modular, and customizable.☆384Updated 2 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆104Updated last year
- ☆238Updated 5 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆728Updated 3 weeks ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆427Updated 2 weeks ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆373Updated 3 years ago
- ☆109Updated 4 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆97Updated 10 months ago
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆292Updated 2 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- A Survey☆567Updated 2 years ago
- ☆66Updated 5 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆574Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆96Updated 2 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆44Updated 3 years ago