yizhe-ang/k-means-explorable

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133
Rank 272,600 (Top 6 %)
Language Svelte
License
MIT License
Created over 2 years ago
Updated over 1 year ago

yizhe-ang/k-means-explorable

yizhe-ang

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An Explorable Explainer of K-Means Clustering

K-Means Clustering: An Explorable Explainer

Check out the article live here.

Happy to share that this work has been awarded Best Submission at VISxAI 2022! Do check out the other amazing submissions!

k_means_explorable_demo.mp4

Built with

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An Explorable Explanation of Matrices and Linear Transformations

fake-detection-lab

Media Forensics / Fake Detection experiments in PyTorch. Implements Fighting Fake News: Image Splice Detection via Learned Self-Consistency

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Unofficial PyTorch Implementation of AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

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Visualizing images at scale in 3D space in the browser using an image atlas / sprite sheet and Three.js instancing.

image-color-palette

Visualization of 🎨 Color Palette Extraction from Images 🏞️. Using React Three Fiber.

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A visualization of the Dota 2 meta-game over the span of Valve Events.

trade-network-vis

Interactive visualization of the international trade network using Svelte.

everton-road-sg

A demo of gaussian splatting scenes of Everton Road, Singapore, captured using Luma AI. Also made with React Three Fiber.

vi-lab

Variational Inference and Normalizing Flow Experiments in PyTorch

Jupyter Notebook

yizhe-ang.github.io

My Personal Website, built with SvelteKit

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Image Classification Model for the Stanford Cars Dataset, and submission for the Grab AI for S.E.A. Computer Vision challenge.

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A simple visualisation of information pertaining to Singapore's university courses.