Projects in Awesome Lists tagged with activelearning
A curated list of projects in awesome lists tagged with activelearning .
https://github.com/blackhc/batchbald
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
activelearning deep-learning machine-learning reproduction-code
Last synced: 07 Apr 2025
https://github.com/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.
active-learning active-learning-module activelearning artificial-intelligence automl data-annotation data-annotation-machine-learning data-annotation-tools dataannotations human-in-the-loop-machine-learning interactive-machine-learning keras machine-learning machine-learning-api machinelearning natural-language-processing python ruby-on-rails sklearn
Last synced: 08 May 2025
https://github.com/andreluizsecco/activelearningbotv3
Chatbot utilizando o conceito de Active Learning com o Bot Framework v3 e o LUIS (Microsoft Cognitive Services)
activelearning bot-framework chatbot cognitive-services luis
Last synced: 06 May 2025
https://github.com/andreluizsecco/activelearningbot
Chatbot utilizando o conceito de Active Learning com o Bot Framework v4 e o LUIS (Microsoft Cognitive Services)
activelearning artificial-intelligence bot-framework bot-framework-v4 chatbot cognitive-services luis
Last synced: 12 May 2025
https://github.com/andreluizsecco/hybridbot
Chatbot integrado ao LUIS e ao QnA Maker com Active Learning em um cenário híbrido
activelearning bot-framework chatbot luis luis-ai qnamaker
Last synced: 09 Apr 2025
https://github.com/louiswang524/smartwater
I built a data labaling platform with active learing and human feedback in the loop.
Last synced: 25 Oct 2025
https://github.com/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.
activelearning imdb logistic-regression nlp python sklearn smalltext tfidf-vectorizer uncertainty
Last synced: 04 Jul 2025
https://github.com/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.
activelearning bmi entropy imbalanced-data margin python querybycommittee smote uncertainty
Last synced: 05 Apr 2025
https://github.com/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.
activelearning cuda entropy imdb-dataset margin nlp python sklearnex torch uncertainty
Last synced: 18 Mar 2025
https://github.com/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.
activelearning cuda entropy kldivergence margin numpy python pyto uncertainty
Last synced: 19 Oct 2025