JordanAsh / badgeLinks
An implementation of the BADGE batch active learning algorithm.
☆207Updated last year
Alternatives and similar repositories for badge
Users that are interested in badge are comparing it to the libraries listed below
Sorting:
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆94Updated 8 months ago
- Awesome Active Learning Paper List☆141Updated last year
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆272Updated 6 years ago
- 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
- Variational Adversarial Active Learning (ICCV 2019)☆230Updated last year
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 5 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆152Updated 2 years ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆219Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year
- ☆413Updated 3 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆41Updated last year
- Deep Active Learning☆837Updated 2 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆241Updated last year
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- Reusable BatchBALD implementation☆79Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆175Updated 11 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- Code for coreset selection methods☆236Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- Addressing Failure Prediction by Learning Model Confidence☆172Updated 2 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆88Updated 3 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆176Updated last year
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆231Updated 6 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆345Updated 5 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆53Updated 3 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 4 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆84Updated 2 years ago