BuStop is a ML-based framework to automatically detect different stay-location types for intra-city public bus travels through multi-modal sensing.
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Updated
Nov 20, 2022 - Jupyter Notebook
BuStop is a ML-based framework to automatically detect different stay-location types for intra-city public bus travels through multi-modal sensing.
Showcases ongoing, and completed projects within various research themes.
A multimodal deep learning framework for prediction of cancer biomarkers
Code for project Using Self-Supervised Learning to classify aerial scenes audiovisuals with remote sensing data
This project classifies Internet Hinglish memes using multimodal learning. It combines text and image analysis to categorize memes by sentiment and emotion, leveraging the Memotion 3.0 dataset.
This is an Honours Project for the Edinburgh Napier University for the (BSc) Computer Science Degree. This is a project aiming at the identification of the use of a conversational-agent to educate on a topic and compare against other methods of learning.
We propose Multi-Modal Segmentation TransFormer (MMSFormer) that incorporates a novel fusion strategy to perform multimodal material segmentation.
HongminWu.github.io
An algorithm to facilitate the training and inferencing of multimodal data, along with the machinery and instructions to host it on AWS Sagemaker.
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
This repository is a collection of respositories used in hands-on session at Summer School IIITH - 2021, which was attended by me
Implementation of Multimodal-Gaussian Mixture Model with Gibbssampling
This is an Honours Project for the Edinburgh Napier University for the (BSc) Computer Science Degree. This is a project aiming at the identification of the use of a conversational-agent to educate on a topic and compare against other methods of learning.
Unsupervised localization of Text in Images
[PROPOR 2024] Exploring Multimodal Models for Humor Recognition in Portuguese
DataStorm is a DataScience Competition hold by OCTAVE, the John Keells Group. This is our 2nd time participating in this competition (we got to 5th place last year)
This repository consists of the source code of the final project of CS 6983 Bias / Ethics Implications in Artificial Intelligence
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