Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
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Apr 13, 2026 - Python
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activelearning
Here are 41 public repositories matching this topic...
Awesome Active Learning Paper List
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Apr 23, 2024
[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
computer-vision deep-learning media medical-imaging active-learning aaai cvpr iccv tmi medical-image-processing miccai iclr icml medical-image-analysis activelearning isbi midl neurips
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Jun 7, 2025 - Python
Tornado is an open source Human-in-the-loop machine learning tool. It helps you label your dataset on the fly while training your model through a simple web user interface. It supports all data types: structured, text and image.
python machine-learning natural-language-processing sklearn keras artificial-intelligence machinelearning machine-learning-api ruby-on-rails dataannotations active-learning automl data-annotation activelearning interactive-machine-learning active-learning-module human-in-the-loop-machine-learning data-annotation-machine-learning data-annotation-tools
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Apr 15, 2023 - Ruby
Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".
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May 25, 2021 - Python
Chatbot utilizando o conceito de Active Learning com o Bot Framework v3 e o LUIS (Microsoft Cognitive Services)
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Jul 7, 2023 - C#
The demo partially associated with the following papers: "Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images" and "Multiclass Non-Randomized Spectral–Spatial Active Learning for Hyperspectral Image Classification".
machine-learning image-processing remote-sensing classification image-classification hyperspectral-image-classification hyperspectral active-learning activelearning2110 hyperspectral-imaging activelearning
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Jan 14, 2022 - MATLAB
Non-Uniform Subset Selection for Active Learning in Structured Data
activity-recognition document-classification object-recognition scene-recognition relational-model submodularity activelearning
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Feb 20, 2019 - MATLAB
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Apr 24, 2025 - Python
A collection of ML-related active learning datasets, including algorithms, .ipynb pipelines, .py scripts and curated and ethically aligned synthetic data.
machine-learning machine-learning-algorithms agi dataset machinelearning datasets asi active-learning ethics activelearning ethics-resources ethics-in-ai llm llms llm-inference llms-reasoning
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Feb 26, 2026 - Jupyter Notebook
KL-Ergodic Exploration from Equilibrium
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May 1, 2021 - Jupyter Notebook
The following demo comes for two papers "Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification" and "Multi-layer Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification".
machine-learning machine-learning-algorithms remote-sensing hyperspectral-image-classification hyperspectral hyperspectral-imaging activelearning hyperspectral-images
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Jan 14, 2022 - MATLAB
Chatbot utilizando o conceito de Active Learning com o Bot Framework v4 e o LUIS (Microsoft Cognitive Services)
chatbot bot-framework artificial-intelligence luis cognitive-services activelearning bot-framework-v4
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Jun 21, 2019 - C#
Code for the paper "Reinforced Active Learning for Image Segmentation", adapted to the medical domain for 3D anatomical and pathological segmentation.
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Dec 19, 2021 - Jupyter Notebook
Chatbot integrado ao LUIS e ao QnA Maker com Active Learning em um cenário híbrido
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Feb 12, 2018 - C#
Official codebase for "Overcoming Overconfidence for Active Learning." IEEE Access (2024)
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Sep 18, 2024 - Python
Official code for the IEEE RAL paper: CLEVER: Stream-Based Active Learning for Robust Semantic Perception From Human Instructions
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Jun 1, 2026 - Python
A Comparative Evaluation of Active Learning Methods in Deep Recommendation
tensorflow python3 thompson-sampling recommender-system upper-confidence-bounds active-learning activelearning multiarmed-bandits sequential-recommendation
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Jul 14, 2019 - Jupyter Notebook
Strata 2018 Tutorial: R and Python for Scalable Data Science
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Jun 17, 2019 - HTML
A wrapper to use GRACE MLIP as a substitute for VASP/DFT backend to do various solid state systems advance analysis
vasp monte-carlo-simulation thermal superconductivity hopping ase activelearning condensed-matter-physics dislocations mlip grace-tensorpotential mace-torch screwdislocation dislocation-dipole topologicalinsulator berryphase
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May 9, 2026 - Python
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