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Projects in Awesome Lists by kmock930

A curated list of projects in awesome lists by kmock930 .

https://github.com/kmock930/heartlinehk

Implmentation of live chat feture on webapp. Pull requests are welcomed.

Last synced: 05 Apr 2025

https://github.com/kmock930/kmock930.github.io

My Personal Website

Last synced: 05 Apr 2025

https://github.com/kmock930/codeml-dedsec

Feel free to commit codes of the hackathon challenges

Last synced: 05 Apr 2025

https://github.com/kmock930/2024-summer-hackathon-team-1

Building a dashboard application which helps a Canada-based NGO more efficiently collecting and organizing user data from students and parents within their course registrations.

Last synced: 05 Apr 2025

https://github.com/kmock930/cs2800-calculator

A simple Calculator program developed in my 2nd year of undergraduate.

Last synced: 05 Apr 2025

https://github.com/kmock930/ai-projects

Here are my projects related to machine learning & data science.

Last synced: 05 Apr 2025

https://github.com/kmock930/multi-category-image-modelling-transfer-learning

This is a project about the work of a transfer learning (from binary image classification) to multi category image classification and regression, as well as some data processing, regularization, and data augmentation.

Last synced: 05 Apr 2025

https://github.com/kmock930/codeml-hackathon-2024

Hackathon about solving Machine Learning challenges with given datasets

Last synced: 11 Feb 2025

https://github.com/kmock930/uottahack7-hackathon

QuickHire - It helps people to effortlessly submit applications to their dream jobs. By providing a job description, we generate them a tailored resume or cover letter. We also summarized a similarity score (in %) to show the strength of a piece of CV/cover letter.

gadget googlegemini graphql javascript json materialui natural-language-processing nosql-database postgresql-database promptengineering react tailwind-css typescript

Last synced: 28 Mar 2025

https://github.com/kmock930/texture-image-comparison

This project aims to build a model which classifies the type of an unseen image as accurate as possible, by implementing, evaluating, and comparing amongst 2 different multi-layer perceptron Neural Networks.

computer-vision conda confusion-matrix convolutional-neural-networks cuda image-preprocessing keras keras-tensorflow learning-curve-analysis matplotlib multi-layer-perceptron neural-network pickle-file python3 skimage

Last synced: 05 Apr 2025

https://github.com/kmock930/fyp

Last synced: 05 Apr 2025