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:
- Awesome Active Learning Paper List☆142Updated last year
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆272Updated 6 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆94Updated 8 months ago
- 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
- Variational Adversarial Active Learning (ICCV 2019)☆231Updated 2 years ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- ☆415Updated 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…☆182Updated last year
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆152Updated 2 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆219Updated 4 years ago
- Distributionally robust neural networks for group shifts☆269Updated 2 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆300Updated 3 weeks ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆41Updated last year
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆241Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆569Updated last year
- Reusable BatchBALD implementation☆79Updated last year
- NumPy library for calibration metrics☆73Updated 4 months ago
- Awesome coreset/core-set/subset/sample selection works.☆178Updated last year
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆176Updated last year
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆478Updated last year
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆346Updated 5 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- PyTorch code to run synthetic experiments.☆423Updated 3 years ago