Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
☆282Oct 23, 2018Updated 8 years ago
Alternatives and similar repositories for active_learning_coreset
Users that are interested in active_learning_coreset are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆1,163Dec 5, 2022Updated 3 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆205Sep 26, 2019Updated 7 years ago
- Deep Active Learning☆850Oct 3, 2022Updated 4 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆224Aug 4, 2020Updated 6 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆231Jul 6, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- An implementation of the BADGE batch active learning algorithm.☆218Jun 5, 2024Updated 2 years ago
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Apr 11, 2021Updated 5 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆108Oct 22, 2024Updated 2 years ago
- State-Relabeling Adversarial Active Learning☆14Aug 17, 2021Updated 5 years ago
- Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper☆36May 9, 2019Updated 7 years ago
- ☆48Feb 9, 2024Updated 2 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆249Apr 13, 2026Updated 6 months ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆995Dec 8, 2022Updated 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…☆182May 6, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official implementation of COLosSAL [MICCAI 2023]☆15Jul 22, 2023Updated 3 years ago
- An unofficial PyTorch implementation of "Learning Loss for Active Learning"☆10Apr 3, 2022Updated 4 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆903Jul 23, 2025Updated last year
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Feb 21, 2018Updated 8 years ago
- Code for "Active One-shot Learning"☆33Mar 2, 2019Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆140Nov 2, 2016Updated 9 years ago
- ☆53Jul 24, 2022Updated 4 years ago
- Adversarial Active Learning for Deep Networks☆14Oct 16, 2018Updated 8 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆89Nov 27, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Nov 29, 2021Updated 4 years ago
- A curated list of awesome Active Learning☆807Mar 26, 2026Updated 7 months ago
- A modular active learning framework for Python☆2,376Feb 26, 2024Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆70Aug 16, 2023Updated 3 years ago
- Reusable BatchBALD implementation☆78Feb 28, 2024Updated 2 years ago
- Wasserstein Adversarial Active Learning☆29Jul 6, 2020Updated 6 years ago
- A list of active learning methods for deep learning.☆65Jan 14, 2024Updated 2 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆109Sep 19, 2023Updated 3 years ago
- 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
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆96Jan 14, 2021Updated 5 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆40Sep 14, 2022Updated 4 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88May 17, 2022Updated 4 years ago
- Pool-based active learning in Python☆791Oct 12, 2026Updated 2 weeks ago
- ☆40Apr 7, 2020Updated 6 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆90Mar 26, 2018Updated 8 years ago
- Learning Loss for Active Learning Pytorch Implementation,(reproduction)☆32Jan 15, 2020Updated 6 years ago