dougbrion / pytorch-classification-uncertaintyLinks
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
☆482Updated 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:
- ☆416Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆303Updated last month
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆487Updated 3 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- Domain adaptation made easy. Fully featured, modular, and customizable.☆381Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆627Updated 3 years ago
- ☆109Updated 4 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆711Updated last month
- 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
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆415Updated this week
- ☆237Updated 5 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆364Updated 11 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,520Updated last month
- Reliability diagrams visualize whether a classifier model needs calibration☆154Updated 3 years ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆371Updated 3 years ago
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆290Updated 2 years ago
- Awesome Active Learning Paper List☆143Updated last year
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆561Updated 4 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆186Updated last year
- An implementation of the state-of-the-art Deep Active Learning algorithms☆104Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆95Updated 9 months ago
- All about domain generalization☆838Updated 5 months ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization☆417Updated 4 years ago
- ☆66Updated 5 years ago