stripnet
sa-uta11-results
stripnet | sa-uta11-results | |
---|---|---|
1 | 3 | |
85 | 1 | |
- | - | |
0.0 | 5.3 | |
almost 2 years ago | about 1 year ago | |
HTML | HTML | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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stripnet
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âš¡ STriP Net: Semantic Similarity of Scientific Papers Network
🚀 Github: https://github.com/stephenleo/stripnet
sa-uta11-results
- Personalized AI Communication in Healthcare: Our Latest Research Findings
- [R] Breaking Ground in Machine Learning for Healthcare: Our Paper on Personalized Communication for Breast Cancer Diagnosis at #CHI2023
- Excited to Present our Work on Assertiveness-Based Agent Communication for a Personalized Radiology at CHI 2023
What are some alternatives?
feed-visualizer - Feed Visualizer creates interactive visualizations by clustering RSS/Atom feed items based on semantic similarity. Feed Visualizer also attempts to automatically predict the labels for each cluster. This application will create a "semantic summary" of a website's contents by scanning its RSS/Atom feed, allowing for easy discovery and navigation to topics of interest. Feed Visualizer creates interactive visualizations in the form of static HTML and JS files, which may be edited and sent to a server.
dataset-uta4-dicom - [AVI 2020] UTA4: Medical Imaging DICOM files dataset.
gensim - Topic Modelling for Humans
tiddlyresearch - Local and Anki-compatible note-taking tool based on TiddlyWiki
datalabel - datalabel is a UI-based data editing tool that makes it easy to create labeled text data in a dataframe. With datalabel, you can quickly and effortlessly edit your data without having to write any code. Its intuitive interface makes it ideal for both experienced data professionals and those new to data editing.
tcow - Tracking through Containers and Occluders in the Wild (CVPR 2023) - Official Implementation
Amber-Heard_Disinformation_Operations_Bots - Amber Heard Social Network Analysis of Disinformation/Influence Operations, Bots, & Crime Across-Platforms. - Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of bots, cyberabuse, domestic abuse, coercive control, crime, & disinformation operations. We want to Save Lives & help partners create systems to help online - including specialized and accurate rescue, quality custom, data analysis, social network analysis, forensics, research, and public safety technologies - with focus on the victim primarily & her environment.
deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!