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chromehttprequestblocker

Chrome extension that allows blocking HTTP request based on URL pattern definitions.

cnn-nodule-classification

In this repository, we utilized Convolutional Neural Networks (CNN) to develop a binary classification model in detecting nodules in CT scans.

computational-statistics

This is the repository for the Computational Statistics course covering numerical linear algebra, Gaussian processes, Newton’s method and optimization, numerical integration, Markov chain Monte Carlo (MCMC), the Bootstrap, density estimation, and machine learning (neural networks and deep learning).

computational-statistics-with-python

Resources for STA 633 class

conductornetwork

Implementation of Conductor Network for deep learning-based conductivity estimation

cryptoview

ds413-deep-learning

easylist

EasyList filter subscription (EasyList, EasyPrivacy, EasyList Cookie, Fanboy's Social/Annoyances/Notifications Blocking List)

email-bot

ml-from-scratch

Machine Learning algorithms implemented in Python from scratch

nlp-medical-specialty-classification

In this repository, we utilized BERT-based approaches to classify medical specialities using transcription data.

open-cookie-database

The Open Cookie Database is an effort to describe and categorise all major cookies. All cookie descriptions are saved in a downloadable CSV file. All contributions to the CSV file are welcomed.

phd-literature-review

This repository summarizes my literature review across different fields of Data Science, Artificial Intelligence, and Informatics and its application to medicine and public health.

python-for-ds-ai

radi601

Overview of the Health Informatics Discipline

radi603

Assignment

radi604

Collection of Readings and Notes from RADI604: Principles and Concepts of Health Systems

radi605

The in-depth coverage of machine learning algorithms; statistical objectives of the prediction; classification and clustering; data validation; cluster analysis; establishing predictive and classification models; using machine learning applications in the health analytics; python programming for modern machine learning.

radi608

Data Mining Lecture and Assignment

radi622

radi623

rrwabina

sde-net

Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

sdenet-uq-esl

SDENet as Uncertainty Quantification Method for EEG Source Localization

seq2seqepidemics

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

tableocr

TableNet Implementation via PyTorch

tadaaah

Cookie Blocker

uncertainty

Here's a simple tutorial on uncertainty quantification using Monte Carlo (MC) dropout. The dropout, originally used to avoid over fitting, can provide model uncertainty. This repository will be updated with new UQ models

understandingdna

Explore the applications of Natural Language Understanding in Bioinformatics, focusing on the Central Dogma of Molecular Biology,