Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

Awesome Active Learning Paper List

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)

Non-Uniform Subset Selection for Active Learning in Structured Data

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".

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".

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

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

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

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

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