Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

Awesome Active Learning Paper List

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

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.

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

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

KNIME Active Learning (Labs)

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".

Non-Uniform Subset Selection for Active Learning in Structured Data

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

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".

KL-Ergodic Exploration from Equilibrium

Chatbot integrado ao LUIS e ao QnA Maker com Active Learning em um cenário híbrido

A Comparative Evaluation of Active Learning Methods in Deep Recommendation

Code for the paper "Reinforced Active Learning for Image Segmentation", adapted to the medical domain for 3D anatomical and pathological segmentation.

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

Strata 2018 Tutorial: R and Python for Scalable Data Science

Classifying motion of an autonomous robot as translation or rotation - a project which was part of Machine Learning course at BITS Pilani

Official implementation of our AISTATS 2023 paper "FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery".