PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Deep Q-Learning Network in pytorch (not actively maintained)

Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)

A PyTorch toolkit with 8 popular deep active learning query methods implemented.

An active learning library for Pytorch based on Lightning-Fabric.

An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.

Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"

Pytorch implementation of BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation

🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu et al. ICCV 2021."

BAL: Balancing Diversity and Novelty for Active Learning - Official Pytorch Implementation

[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''

PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021

Official PyTorch Implementation for Active Prompt Learning in Vision Language Models

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Learning Loss for Active Learning Pytorch Implementation,(reproduction)

Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))

Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"

Official Pytorch implementation for the paper titled "Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation" presented on ICLR 2023.

Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"

Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).

This is the official PyTorch implementation for our NAACL 2024 paper: "AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets".

The official PyTorch implementation of the paper "Optical Flow Training under Limited Label Budget via Active Learning" (ECCV 2022)

Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper

Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)

Code for undergraduate thesis "Active Learning for Deep Object Detection".

PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".

[SIGKDD' 24] PyTorch implementation of Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks

Official PyTorch implementation For Sharpness-Aware Active Learning [ICML 2023]

A PyTorch toolbox for domain adaptation, domain generalization, federated learning DA/DG, active learning DA/DG, ALDG and semi-supervised learning DA/DG.