This is our submission for the InformatiCup 2017. Although we designed our Application to assist us with the given task of classifying GitHub repositories, it should be easily reusable for other classification purposes - feel free to use it on your own!

Machines and people collaborating together through Jupyter notebooks.

Cost-Effective Active Learning for Melanoma Segmentation

Pool-based active learning in Python

Active Learning with Cross-Class Similarity Transfer

Cost-Effective Active Learning for Deep Image Classification

Graphical Interface active learning applied to GIS.

A sequence tagging model with active learning

This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.

python implementation of Jerry Zhu's 2003 ICML paper on semi-supervised and active learning with Gaussian fields

Opinion Stream Mining

Code pertaining to the paper: "Reducing Bias in Online Datasets"

Python code related to the Machine Learning online course from Columbia University

Accelerated Design of Layered Materials with Bayesian Optimization

ALLM: Active Learning for Accelerated Design of Layered Materials

Preference Elicitation Through Active Learning and Meta-Learning

Implementing COP-Kmeans and PC-Kmeans

Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection

Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria

Implementing COP-Kmeans and PC-Kmeans