SineZHAN / deepALplusLinks
This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).
☆182Updated last year
Alternatives and similar repositories for deepALplus
Users that are interested in deepALplus are comparing it to the libraries listed below
Sorting:
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆97Updated 10 months ago
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year
- An implementation of the state-of-the-art Deep Active Learning algorithms☆104Updated last year
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆221Updated 5 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated 2 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆89Updated 4 years ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- Awesome Active Learning Paper List☆143Updated last year
- A curated list of awesome Active Learning☆776Updated 10 months ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆86Updated 2 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆310Updated 2 months ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- Deep Active Learning☆839Updated 2 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆489Updated last year
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆274Updated 6 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
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆236Updated 2 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 4 months ago
- A list of active learning methods for deep learning.☆64Updated last year
- ☆420Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆138Updated last year
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Updated last year
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆44Updated 3 years ago
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆54Updated last year
- List of papers that combine self-supervision and continual learning☆68Updated 6 months ago
- Awesome coreset/core-set/subset/sample selection works.☆181Updated last year
- A Survey☆567Updated 2 years ago
- Papers about long-tailed tasks☆89Updated 2 years ago