Analyses disaster text message data and builds a classifier powered API to tag messages against their categories

Build ensmbled Android Malware Classifier by using stacking-like method.

This code is part of my PhD research. This code select the best partition using the silhouete coefficient.

Unsupervised Contextualized Document Representation, to appear in SustaiNLP 2021 EMNLP 2021

Sentiment Analysis in polish sentences with Glove Embeddings

A multi-label language identification dataset based on regional Indian languages. It contains 5 languages (Hindi, Bengali, Malayalam, Kannada, and English) with the presence of two scripts per image (implying the multi-linguality). The dataset is diverse in nature with the existence of curved, perspective distorted, and multi-oriented text in ad…

This repo provides scripts for fine-tuning HuggingFace Transformers, setting up pipelines and optimizing multi-label classification models for inference. They are based on my experience developing a custom chatbot, I’m sharing these in the hope they will help others to quickly fine-tune and use models in their projects! 😊

Text-Multilabel-Classification-BERT-Tf2.0

This project proposes an innovative approach to personality estimation from EEG data using Transformer architectures.

Tags Prediction given the query title and description on Stack Overflow website

Multi-label text-classification algorithm from Popa, Zeitouni & Gardarin

Documentation of the BOOMER machine learning algorithm.

This repository provides a practical implementation of the Friedman and Nemenyi statistical tests specifically tailored for multi-label classification problems. These techniques are essential for evaluating and comparing the performance of multiple algorithms in experiments where each instance may belong to several classes simultaneously.

The official GitHub repository of the multi-label hate classification system on transliterated Bangla Ban-TH

Upload your fashion images and get detailed labels, such as category, color, and season, predicted by my AI model using an ensemble of CNN architectures.

This repository contains the code I used for MoA competition.

Classification of aerial rainforest images to detect deforestation

This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.

XLNet Multi-class Text Classification for Chinese and English (available for both multi-label and single-label classification)

This repository contains the codes and reports of the projects assigned in CS6476 (Computer Vision) at Georgia Tech in Fall 2022.