GitHub topics: activelearning

Repositories

Joalex2009/asi-active-learning-dataset

Explore the ASI Active Learning Dataset, a valuable resource for machine learning enthusiasts, featuring ethically aligned synthetic datasets and essential scripts. Dive into the structured modules to enhance your active learning experiments! 🐙📊

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ronniross/asi-active-learning-dataset

A collection of ML-related active learning datasets, including algorithms, .ipynb pipelines, .py scripts and curated and ethically aligned synthetic data.

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LightersWang/Awesome-Active-Learning-for-Medical-Image-Analysis

[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"

Language: Python - Size: 650 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 101 - Forks: 6

MolinDiscovery/MDRMF

Language: Python - Size: 25.2 MB - Last synced at: 30 days ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0

BlackHC/BatchBALD

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

Language: Python - Size: 12.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 240 - Forks: 55

slrbl/human-in-the-loop-machine-learning-tool-tornado

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.

Language: Ruby - Size: 150 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 67 - Forks: 12

knime/knime-activelearning

KNIME Active Learning (Labs)

Language: Java - Size: 899 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 5

yongjin-shin/awesome-active-learning

Awesome Active Learning Paper List

Size: 32.2 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 141 - Forks: 18

Abdelrahman-Amen/Active_Learning_in_NLP_using_Small_Text_Technique

This project demonstrates active learning for text classification using the Small-Text library on the IMDB dataset. A logistic regression model is trained iteratively, selecting the most uncertain samples for labeling with a smart query strategy. The approach highlights efficient learning with minimal labeled data, improving model performance.

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Abdelrahman-Amen/Active_Learning_in_NLP

I applied active learning to the IMDB dataset for sentiment analysis. Starting with a small labeled subset, I trained a model and used uncertainty sampling to select and label challenging reviews. This iterative process improved performance while reducing labeling effort.

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Abdelrahman-Amen/Active_Learning_using_Imbalanced_Dataset

This project explores active learning techniques, focusing on query strategies to optimize informative data selection for model training. It aims to reduce labeled data while improving model performance, especially with imbalanced datasets where certain classes are underrepresented.

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Abdelrahman-Amen/Active_Learning_with_different_Query_Strategies

This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.

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sejong-rcv/OO4AL

Official codebase for "Overcoming Overconfidence for Active Learning." IEEE Access (2024)

Language: Python - Size: 3.25 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

louiswang524/SmartWater

I built a data labaling platform with active learing and human feedback in the loop.

Language: Python - Size: 429 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

marcNY/LinearRegMLCourse

Language: Python - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

zxuu/ActiveLearning

主动学习相关

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mahmad00/Multiclass-AL-HSIC-using-ELM-SVM-KNN-LORSAL

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".

Language: MATLAB - Size: 17.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 4

andreluizsecco/ActiveLearningBot

Chatbot utilizando o conceito de Active Learning com o Bot Framework v4 e o LUIS (Microsoft Cognitive Services)

Language: C# - Size: 12.7 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 2

vipularya135/VIP-s-MNIST-Active_learning

python code + pytorch + active learning + LeNet - 5 model

Size: 759 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

forest-snow/alps

Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".

Language: Python - Size: 47.3 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 38 - Forks: 10

i-abr/KLE3

KL-Ergodic Exploration from Equilibrium

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Jolly-w/alsl20 Fork of hybridresults/alsl20

Size: 353 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

andreluizsecco/ActiveLearningBotV3

Chatbot utilizando o conceito de Active Learning com o Bot Framework v3 e o LUIS (Microsoft Cognitive Services)

Language: C# - Size: 26.4 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 8

mahmad00/GELM-AE-AL

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".

Language: MATLAB - Size: 5.24 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 3

k9luo/Deep-Preference-Elicitation

A Comparative Evaluation of Active Learning Methods in Deep Recommendation

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sujoyp/context-active-learning

Non-Uniform Subset Selection for Active Learning in Structured Data

Language: MATLAB - Size: 1.35 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 5

pablov-1995/thesis-nn-model-choice

The code in this repository makes it possible to reproduce the results of my master thesis "Evaluation of the performance of neural network models and classical models in the context of Active Learning for Systematic Reviewing"

Language: Python - Size: 360 KB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sridas123/Active-Feature-Elicitation

Code base for actively eliciting expensive/ cumbersome features of the most informative data instance. (IJCAI 2018)

Language: Python - Size: 590 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

hsm207/Strata2018 Fork of Azure/Strata2018

Strata 2018 Tutorial: R and Python for Scalable Data Science

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Related Keywords

activelearning 35 machine-learning 10 active-learning 8 python 7 uncertainty 4 deep-learning 3 nlp 3 machinelearning 3 entropy 3 margin 3 luis 3 chatbot 3 bot-framework 3 cognitive-services 2 cuda 2 remote-sensing 2 hyperspectral-imaging 2 hyperspectral-image-classification 2 learning 2 hyperspectral 2 sklearn 2 classification 2 artificial-intelligence 2 machine-learning-algorithms 2 llms-reasoning 2 llm-inference 2 llm 2 ethics-resources 2 ethics-in-ai 2 ethics 2 datasets 2 dataset 2 asi 2 agi 2 upper-confidence-bounds 1 thompson-sampling 1 resnet 1 tensorflow 1 sequential-recommendation 1 recommender-system 1 threshold 1 python3 1 multiarmed-bandits 1 motion 1 robot 1 hyperspectral-images 1 ergodicity 1 ergodic-control 1 emnlp2020 1 mnist-dataset 1 bot-framework-v4 1 image-processing 1 image-classification 1 metadata-extraction 1 data-mining 1 conditonal-random-fields 1 building 1 qnamaker 1 luis-ai 1 rrt-star 1 rrt 1 markov-decision-processes 1 kalman-filter 1 inverse-reinforcement-learning 1 r 1 datascience 1 sensor-data 1 supervised-learning 1 featureelicitation 1 dataselection 1 utrecht-university 1 systematic-reviews 1 simulation 1 neural-network 1 asreview 1 submodularity 1 scene-recognition 1 transferlearning 1 relational-model 1 cifar100 1 object-recognition 1 document-classification 1 activity-recognition 1 activelearning2110 1 keras 1 interactive-machine-learning 1 human-in-the-loop-machine-learning 1 dataannotations 1 data-annotation-tools 1 data-annotation-machine-learning 1 data-annotation 1 automl 1 active-learning-module 1 reproduction-code 1 drugdiscovery 1 cheminformatics 1 tmi 1 neurips 1 midl 1 miccai 1