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

python code + pytorch + active learning + LeNet - 5 model

robotics

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".

Code base for actively eliciting expensive/ cumbersome features of the most informative data instance. (IJCAI 2018)

QBC research project at Cornell

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"

Strata 2018 Tutorial: R and Python for Scalable Data Science

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

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.

KL-Ergodic Exploration from Equilibrium

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