Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
☆249Apr 13, 2026Updated 4 months ago
Alternatives and similar repositories for BatchBALD
Users that are interested in BatchBALD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reusable BatchBALD implementation☆78Feb 28, 2024Updated 2 years ago
- ☆40Apr 7, 2020Updated 6 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆231Jul 6, 2023Updated 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 6 years ago
- A PyTorch implementation of BatchBALD on the MNIST dataset☆13Sep 16, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Bayesian active learning library for research and industrial usecases.☆934Dec 3, 2025Updated 8 months ago
- Deep Active Learning☆850Oct 3, 2022Updated 3 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆282Oct 23, 2018Updated 7 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Feb 21, 2018Updated 8 years ago
- A modular active learning framework for Python☆2,363Feb 26, 2024Updated 2 years ago
- Awesome Active Learning Paper List☆149Apr 23, 2024Updated 2 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆994Dec 8, 2022Updated 3 years ago
- An implementation of the BADGE batch active learning algorithm.☆218Jun 5, 2024Updated 2 years ago
- ☆1,163Dec 5, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A list of active learning methods for deep learning.☆65Jan 14, 2024Updated 2 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆223Aug 4, 2020Updated 6 years ago
- Bayesian Deep Active Learning for Natural Language Processing Tasks☆146Nov 24, 2018Updated 7 years ago
- Active Learning with Partial Feedback, ICLR 2019☆11Apr 27, 2020Updated 6 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆906Jul 23, 2025Updated last year
- [CVPR 2017] Official Implementation for AIFT☆93Jun 15, 2021Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated 2 years ago
- Bayesian Deep Learning Benchmarks☆672Mar 24, 2023Updated 3 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Aug 7, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 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
- Deep Batch Active Learning for Regression☆76Oct 3, 2024Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆106Oct 22, 2024Updated last year
- (DEPRECATED, migrated to main repo - hasktorch/hasktorch) Research code generation / FFI binding using libtorch 1.x for the next Hasktor…☆11Sep 13, 2019Updated 6 years ago
- ☆25Aug 11, 2022Updated 4 years ago
- Implementation of FixMatch in PyTorch and experimentations☆12Aug 9, 2020Updated 6 years ago
- ☆18Jan 8, 2024Updated 2 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Feb 16, 2023Updated 3 years ago
- Pool-based active learning in Python☆792Aug 21, 2026Updated last week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The code for Meta Learning for SGMCMC☆25Feb 21, 2019Updated 7 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆479Jul 6, 2023Updated 3 years ago
- A practical Active Learning python package with a strong focus on experiments.☆52Oct 20, 2022Updated 3 years ago
- Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)☆38Jan 18, 2019Updated 7 years ago
- Bayesian optimization in PyTorch☆3,591Updated this week
- 主动学习(Active Learning)框架,实现了多个主动学习策略,包括:熵(Entropy)、最大梯度改变(ECG)等。☆86Aug 9, 2018Updated 8 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆93Sep 14, 2021Updated 4 years ago