Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
☆279Oct 23, 2018Updated 7 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:
- ☆1,167Dec 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…☆202Sep 26, 2019Updated 6 years ago
- Deep Active Learning☆851Oct 3, 2022Updated 3 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆232Jul 6, 2023Updated 2 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆222Aug 4, 2020Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- An implementation of the BADGE batch active learning algorithm.☆217Jun 5, 2024Updated 2 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆107Oct 22, 2024Updated last year
- ☆48Feb 9, 2024Updated 2 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆994Dec 8, 2022Updated 3 years ago
- Official implementation of COLosSAL [MICCAI 2023]☆15Jul 22, 2023Updated 2 years ago
- Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper☆35May 9, 2019Updated 7 years ago
- An unofficial PyTorch implementation of "Learning Loss for Active Learning"☆10Apr 3, 2022Updated 4 years ago
- Code for "Active One-shot Learning"☆33Mar 2, 2019Updated 7 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆250Apr 13, 2026Updated 2 months 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.
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆185May 6, 2024Updated 2 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆904Jul 23, 2025Updated 11 months ago
- ☆53Jul 24, 2022Updated 3 years ago
- State-Relabeling Adversarial Active Learning☆14Aug 17, 2021Updated 4 years ago
- A curated list of awesome Active Learning☆802Mar 26, 2026Updated 3 months ago
- Awesome Active Learning Paper List☆149Apr 23, 2024Updated 2 years ago
- A modular active learning framework for Python☆2,354Feb 26, 2024Updated 2 years ago
- Adversarial Active Learning for Deep Networks☆14Oct 16, 2018Updated 7 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Feb 21, 2018Updated 8 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Active Learning on Image Data using Bayesian ConvNets☆140Nov 2, 2016Updated 9 years ago
- A list of active learning methods for deep learning.☆65Jan 14, 2024Updated 2 years ago
- Reusable BatchBALD implementation☆77Feb 28, 2024Updated 2 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆40Sep 14, 2022Updated 3 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆89May 17, 2022Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆109Sep 19, 2023Updated 2 years ago
- Pool-based active learning in Python☆792Apr 8, 2026Updated 2 months ago
- Wasserstein Adversarial Active Learning☆29Jul 6, 2020Updated 5 years ago
- [CVPR 2017] Official Implementation for AIFT☆93Jun 15, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Policy based Active Learning with DQN (EMNLP-2017)☆90Mar 26, 2018Updated 8 years ago
- This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.☆28Jan 5, 2023Updated 3 years ago
- Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)☆26Jun 24, 2019Updated 7 years ago
- ☆40Apr 7, 2020Updated 6 years ago
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆45Sep 22, 2023Updated 2 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆36May 2, 2021Updated 5 years ago
- Code for Multiple Instance Active Learning for Object Detection, CVPR 2021☆340Apr 21, 2023Updated 3 years ago