Comprehensive Machine Learning Techniques: Metrics, Classifiers, and Evaluation

Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.

This repository explores word vectors in NLP, including tokenization, vocabulary building, and generating vectors with PPMI and GloVe, using t-SNE to visualize semantic relationships.

This app clusters similar photos and generates descriptions using machine learning algorithms. Users can select a folder of images, which are analyzed using OpenAI's CLIP model. The app displays the clustered images on a canvas using t-SNE for dimensionality reduction and allows saving the results.

t-distributed stochastic neighborhood embedding (t-SNE) is a unsupervised non-linear dimensionality reduction and data visualization technique. The math behind t-SNE is quite complex but the idea is simple. It embeds the points from a higher dimension to a lower dimension trying to preserve the neighborhood of that point. I compared PCA and t-SN…

Minimal t-distributed stochastic neighbor embedding (t-SNE) implementation in JAX.

Guide for dimensionality reduction and clustering analysis.

[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

This application provides an interactive visualization of dimensionality reduction techniques applied to a 2D and 3D demo datasets. The dimensionality reduction methods used in this application are PCA, t-SNE, and UMAP. This application is for educational purposes.

Tools for finding similarity between dishes offered in restaurants based on their names and descriptions

CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on COVIDx CXR-3 dataset.

Multi-Dimensional Analysis of Hate Speech Using BERT and Cluster Analysis

A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

An analysis around uMap and t-SNE, accompanied by illustrative implementations.

Source code for predicting confidence scores for the samples in t-sne embeddings.

A 3D Visualization of the Cy-Ranch Student Body

NAVER에서 연재되고 있는 웹툰의 그림체 시각화

Plot mnist data in 3D space to see the clusters of handwriting numbers.

A PyTorch port of the existing MXNet implementation for the 2019 CVPR paper "d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding."