dougbrion / pytorch-classification-uncertaintyLinks
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
☆472Updated 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:
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆141Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆475Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆393Updated last week
- ☆412Updated 3 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆680Updated 2 weeks ago
- Domain adaptation made easy. Fully featured, modular, and customizable.☆375Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆628Updated 2 years ago
- ☆108Updated 3 years ago
- An implementation of the BADGE batch active learning algorithm.☆205Updated last year
- The Official Repository for "Generalized OOD Detection: A Survey"☆455Updated 2 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆181Updated last year
- ☆238Updated 5 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆293Updated 3 weeks ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆363Updated 9 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,511Updated last month
- ☆66Updated 5 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Awesome Active Learning Paper List☆141Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆241Updated 2 years ago
- All about domain generalization☆838Updated 3 months ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆210Updated 5 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆565Updated last year
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆558Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆295Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆150Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆154Updated 2 years ago
- Calibration of Convolutional Neural Networks☆165Updated 2 years ago