Active learning with tensorflow. Create custom and generic active learning loops. Export and share your experiments.

A Python implementation of Paper "Image Retrieval with Relevance Feedback using SVM Active Learning"

[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

SATML 2025 | Differentially Private Active Learning | Official Implementation

Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria

Active learning for systematic reviews

Active learning; Query by committee; Ensemble averaging; Committee machines; Neural Network Potentials

Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation

This repository provides documentation for running the Active Learning workflow for fitting Gaussian Approximation Potentials.

Evaluate the ensemble model deviation in the same fashion as DeepMD, integrate with ai2kit workflow for MACE

Code pertaining to the paper: "Reducing Bias in Online Datasets"

Framework to study the use of deep active learning for biomedical relation extraction

Feasible-Infeasible Evolutionary Create & Eliminate Algorithm for Expectation Maximization.

[ICML 2022] Active learning of AI models on ECG data with SoQal

Tool for the recovery of relevant information through classification in an active learning loop.

Official implementation of generative active learning for image synthesis personalization (ACM MM 2024)

Implementation for the IJCAI20 paper "Textual Membership Queries"

[2024 IEEE TCYB]Source code of an online active learning strategy (DMI-LS)

PyTorch implementation of our paper "Rethinking Deep Active Learning for Medical Image Segmentation: A Diffusion and Angle-based Framework"

Classifier with Counterfactual Samples and Active Learning