JittorVis - Visual understanding of deep learning models

🌟 An end-to-end full-stack data science project, including modelling, MLOps, and data storytelling. ✨

Spatio-Temporal Tag and Photo Location Clustering for generating Tag Maps

[PacificVis 2025] Multi-Criteria Exploratory Dashboard

A visual analytics environment for supervised text classification and model evaluation.

FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches

Visual analysis approach presented in the papers "Visualization-based improvement of neural machine translation" (Computers & Graphics, 2021) and "Visual-Interactive Neural Machine Translation" (Graphics Interface, 2021).

Visual analysis approach presented in the paper "Exploring visual quality of multidimensional time series projections", published by the journal Visual Informatics.

StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics

Tracking Daily COVID-19 Infection Count in European Countries using Hadoop MapReduce and Python

Visualizations and predictive models of traffic stop data from Charlotte, NC

VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization

Instance of Tiramisù framework designed to provide insights about personal work processes

Iris Dataset Analysis Using Dash

Visual analytics app for exploring machine learning classifications.

Plotly Dash Template

A visual debugging tool for fine-tuned BERT models for (multilabel) sequence classification tasks

Source code for the paper "Unsupervised Video Summarization via Multi-source Features" published at ICMR 2021

This repo contains code for conducting image classification on a dataset of fruit images. Two models are fit to the data; a simple sequential model which is akin to multiclass logistic regression, and a large pretrained CNN model (VGG16).