This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).
☆183May 6, 2024Updated 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☆103Oct 22, 2024Updated last year
- Deep Active Learning☆847Oct 3, 2022Updated 3 years ago
- A curated list of awesome Active Learning☆796Oct 20, 2024Updated last year
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆37Aug 3, 2023Updated 2 years ago
- Wasserstein Adversarial Active Learning☆29Jul 6, 2020Updated 5 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆108Sep 19, 2023Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆69Aug 16, 2023Updated 2 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆88Nov 27, 2022Updated 3 years ago
- Official implementation of COLosSAL [MICCAI 2023]☆15Jul 22, 2023Updated 2 years ago
- Everything you need about Active Learning (AL).☆970Jun 1, 2024Updated last year
- An unofficial PyTorch implementation of "Learning Loss for Active Learning"☆10Apr 3, 2022Updated 3 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆156Feb 5, 2023Updated 3 years ago
- Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)☆176Dec 1, 2021Updated 4 years ago
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆57May 3, 2024Updated last year
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆278Oct 23, 2018Updated 7 years ago
- Official code implementation for the paper "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm" (CVPR…☆57Apr 16, 2025Updated 10 months ago
- [MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"☆127Jun 7, 2025Updated 9 months ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆899Jul 23, 2025Updated 7 months ago
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Apr 11, 2021Updated 4 years ago
- ☆15Mar 1, 2021Updated 5 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆984Dec 8, 2022Updated 3 years ago
- [AAAI 2024] An Implementation of Entropic Open-set Active Learning☆28Apr 28, 2024Updated last year
- Learning Loss for Active Learning Pytorch Implementation,(reproduction)☆32Jan 15, 2020Updated 6 years ago
- An implementation of the BADGE batch active learning algorithm.☆212Jun 5, 2024Updated last year
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32May 31, 2023Updated 2 years ago
- ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation☆20Jul 5, 2022Updated 3 years ago
- PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".☆14Dec 22, 2021Updated 4 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Sep 26, 2019Updated 6 years ago
- [CVPR 2024] Plug and Play Active Learning for Object Detection☆103Apr 28, 2024Updated last year
- This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.☆28Jan 5, 2023Updated 3 years ago
- ☆22Feb 20, 2025Updated last year
- Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper☆17Jan 24, 2020Updated 6 years ago
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆44Sep 22, 2023Updated 2 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Mar 19, 2024Updated last year
- A modular active learning framework for Python☆2,339Feb 26, 2024Updated 2 years ago
- The first contrastive learning work for Active Learning.☆18Mar 8, 2023Updated 2 years ago
- Local Context-Aware Active Domain Adaptation (ICCV 2023)☆21Oct 18, 2023Updated 2 years ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆39Nov 20, 2024Updated last year