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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".
A paper list of active learning in medical image analysis and computer vision
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)
Chatbot integrado ao LUIS e ao QnA Maker com Active Learning em um cenário híbrido
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".
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.
Classifying motion of an autonomous robot as translation or rotation - a project which was part of Machine Learning course at BITS Pilani
Strata 2018 Tutorial: R and Python for Scalable Data Science
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"
Code base for actively eliciting expensive/ cumbersome features of the most informative data instance. (IJCAI 2018)
python code + pytorch + active learning + LeNet - 5 model