Reusable BatchBALD implementation
☆77Feb 28, 2024Updated 2 years ago
Alternatives and similar repositories for batchbald_redux
Users that are interested in batchbald_redux are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆248Apr 13, 2026Updated 3 weeks ago
- A PyTorch implementation of BatchBALD on the MNIST dataset☆13Sep 16, 2020Updated 5 years ago
- An implementation of the BADGE batch active learning algorithm.☆215Jun 5, 2024Updated last year
- Bayesian active learning library for research and industrial usecases.☆927Dec 3, 2025Updated 5 months ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆279Oct 23, 2018Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 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
- Deep Active Learning☆850Oct 3, 2022Updated 3 years ago
- Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024)☆10Jan 6, 2025Updated last year
- 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
- Experiments with self-supervised learning☆11Mar 9, 2020Updated 6 years ago
- A curated list of awesome Active Learning☆797Mar 26, 2026Updated last month
- [NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-based Active Self-Training for Active Fine-Tuning of Pretrained Lan…☆15Nov 16, 2022Updated 3 years ago
- Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization☆17Apr 24, 2020Updated 6 years ago
- ☆40Apr 7, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official implementation of COLosSAL [MICCAI 2023]☆15Jul 22, 2023Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆276Mar 17, 2022Updated 4 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 4 years ago
- Implementation of FixMatch in PyTorch and experimentations☆12Aug 9, 2020Updated 5 years ago
- Use Bayesian CNN and Active Learning to Scale Galaxy Zoo (public)☆19May 8, 2019Updated 6 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Jun 7, 2022Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 3 years ago
- ☆18Feb 7, 2024Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlat…☆11Dec 9, 2022Updated 3 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆987Dec 8, 2022Updated 3 years ago
- Official pytorch implementation of ZiRa, a method for incremental vision language object detection (IVLOD),which has been accepted by Neu…☆28Oct 22, 2024Updated last year
- Variational Adversarial Active Learning (ICCV 2019)☆232Jul 6, 2023Updated 2 years ago
- Shows some of the ways molecule generation and optimization can go wrong☆17Jul 6, 2023Updated 2 years ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Nov 16, 2023Updated 2 years ago
- Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".☆40May 25, 2021Updated 4 years ago
- ACGCN: Graph Convolutional Networks for Activity Cliff Prediction Between Matched Molecular Pairs (Park et al., 2022)☆20Feb 10, 2023Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 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 repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆14Mar 20, 2021Updated 5 years ago
- A practical Active Learning python package with a strong focus on experiments.☆51Oct 20, 2022Updated 3 years ago
- Personal experiments and implementation examples of deep learning papers.☆11Jan 23, 2018Updated 8 years ago
- Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"☆18Feb 11, 2023Updated 3 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- A lightweight library for Bayesian analysis of LLM evals (ICML 2025 Spotlight Position Paper)☆25May 28, 2025Updated 11 months ago
- Deep Bayesian Active Semi-Supervised Learning☆11Mar 1, 2018Updated 8 years ago