JittorVis - Visual understanding of deep learning models
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Updated
Apr 18, 2022 - Python
JittorVis - Visual understanding of deep learning models
Multi-Criteria Exploratory Dashboard
Spatio-Temporal Tag and Photo Location Clustering for generating Tag Maps
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).
Tracking Daily COVID-19 Infection Count in European Countries using Hadoop MapReduce and Python
Visual analysis approach presented in the paper "Exploring visual quality of multidimensional time series projections", published by the journal Visual Informatics.
Visualizations and predictive models of traffic stop data from Charlotte, NC
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
This is an analyzed version of aijunbay/uct repository
Iris Dataset Analysis Using Dash
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).
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