karthik-d Goto Github PK

active-learning-boilerplate

Templated boilerplate for experiments in Active and Ensemble Learning.

algorithmic-puzzles

Programs, reports, and documentation for the coursework on Artificial Intelligence

assembling-blocks-of-dall.e-mini

Content repository for Intn'l Conf. Workshop on Dall.E-Mini and Image Generative Models at ICCIDS '23.

authenticated-todo-api-from-scratch

A bottom-up implementation of OAuth2 authenticated Todo API endpoints using Flask RESTplus and vanilla Flask.

biophysical-modeling-with-matlab

Mathematical modeling of simple biological systems using Matlab. Part of coursework in Introductory Physical and Engineering Biology.

cafeteria-management-system

A SaaS project with three user-roles (customer, manager, owner) for managing food orders at a Cafeteria.

computer-networks-labwork

Programs, reports, documentation, and screenshots implemented and designed for the laboratory coursework in UCS1511: Computer Networks course.

control-core-local

Framework for Closed-Loop peripheral neuromodulation control systems

data-mining_preprocessing-analysis

Clearning, transformation and analysis large datasets as part of coursework for UCS1629: Data Warehousing and Data Mining.

data-structures-labwork

Programs and complete ADTs for common data structures implemented in C for the coursework on UCS1312: Data Structures course

dynamical-modeling-of-biological-systems

Bottom-up dynamical modeling of biological systems using ordinary, partial, and stochastic differential equations.

em-clustering-sc-transcriptomics

Expectation-Maximization-based clustering algorithm to identify groups defined by biological variates as clusters in single-cell transcriptomic data.

few-shot-dermoscopic-image-analysis

Skin lesion image analysis that draws on meta-learning to improve performance in the low data and imbalanced data regimes.

fmml-labs

fmml2021

Config files for my GitHub profile.

funded-project-tracker

A web-based platform to manage resources and grants for research projects at universities. Deployed for use at Anna University, India.

fungiclef-2022-using-network-ensembles

Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022

gesture-based-sterile-image-browsing

A gesture-based tool for sterile browsing of radiology images. Hands-free digital image browsing system for use in sterile medical settings.

graphics-and-multimedia-labwork

Programs, reports, documentation, and screenshots implemented and designed for the laboratory coursework on UCS1712: Graphics and Multimedia course.

image-clef-medical-gan-2023

Scripts, figures, and working notes for the participation in ImageCLEFmedical GANs task, part of the 14th CLEF Conference, 2023.

imageclefmedical-captioning-2023

Scripts, figures, and working notes for the participation in ImageCLEFmedical, part of the 14th CLEF Conference, 2023.

internet-programming-labwork

Programs, reports, documentation and screenshots as part of the Internet Programming lab course

lesion-characterization-using-cgan

Analysis of the dermoscopic image processing pipeline toward optimally segmenting skin lesion regions and classifying lesion types using adversarial and generative deep learning.

locatemybus

IoT and ML to assuage the uncertainty in city bus schedules. Track live running status and avail tentative schedule of buses. Minimal IoT setup with a central ML-driven web-backend.

lung-tumor-classification

Deep-learning based classification pipeline for subtyping lung tumors from histology. Study design and codebase to analyze the impact of nucleus segmentation on subtyping.

machinelearning-ssncodingclub

All resources and code used in the machine learning sessions.

maxent-parameter-inference

Maximum Entropy (MaxEnt) parameter inference in biological networks.

niffler

Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.

owlbarn.github.io

Owl Project Page - Owl You Need Is Owl

probabilistic-ml-experiments-with-pystan

Probabilistic modeling using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.