SimTech Project PN 6-4 "Visual Analytics for Deep Learning"
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1 to 10 of 31 Results
vocab_en-de.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 2.2 MB - MD5: 1a5ef6db2cbc9711c3f4361a080e45a9
Vocabulary file for translation from English to German
vocab_de-en.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 2.2 MB - MD5: fa2f8cfe1f2db3b5bc20cae3f81a4016
Vocabulary file for translation from German to English
Visual Analytics System for Hidden States in Recurrent Neural Networks
Sep 10, 2021
Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/darus-2052, DaRUS, V1
Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analy...
Visual Analysis System for Scene-Graph-Based Visual Question Answering
Jul 25, 2023
Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/darus-3589, DaRUS, V1
Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.
trafo_en_de_ensemble.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 1.1 GB - MD5: ec4ec452ebf1eab06982f4d6c26e3c46
Transformer model English to German
trafo_de_en_ensemble.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 1.1 GB - MD5: 2feb374d7b72d366ff5cf701614d4bca
Transformer model German to English
Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
Nov 2, 2020
Munz, Tanja; Schäfer, Noel; Blascheck, Tanja; Kurzhals, Kuno; Zhang, Eugene; Weiskopf, Daniel, 2020, "Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games", https://doi.org/10.18419/darus-1130, DaRUS, V1
Supplemental material for "Comparative Visual Gaze Analysis for Virtual Board Games". Contains the source code, an executable file, an example data set, a video for demonstration of the analysis system and additional information about Go. The analysis system supports eye tracking...
Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"
Jul 25, 2023
Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/darus-3456, DaRUS, V1
Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language...
sourceCode.zip
Nov 2, 2020 - Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games
ZIP Archive - 29.5 MB - MD5: cf60c265a2cb8e048f2ca44d571ad19a
Java source code of the analysis system
seq2seq_en_de_epoch_20.pt
May 26, 2021 - NMTVis - Trained Models for our Visual Analytics System
Unknown - 728.0 MB - MD5: 1d5fef7d8aa21f476dfe71da0c2b085c
LSTM model English to German
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