🧹 Python package for text cleaning
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Updated
May 9, 2023 - Python
🧹 Python package for text cleaning
Blip is a User Generated Social Universe, an online platform where all items, avatars, games, and experiences are made by users from the community.
Cross-platform, low-code media SDK for Unity Engine.
[IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
High performance, cross-platform video recording for Unity Engine.
Tapglue Social Network as a Service (SNaaS)
A flexible normalizer for user-generated content
[IEEE OJSP'2021] "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content", Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
A framework for evaluating image tag assignment, tag refinement and tag-based image retrieval
This repository shows how you can build a compelling user-generated content (UGC) live streaming platform with Amazon IVS.
2BiVQA is a no-reference deep learning based video quality assessment metric.
SourceMod plugin that allows players to use custom TF2 items.
This repository shows how you can build a compelling user-generated content (UGC) live streaming webapp with Amazon IVS.
Normalizer tool for user-generated content (Brazilian Portuguese)
Javascript API for Video Transcoding, Thumbnails extraction & Video Summarization. MediaMachine API lets you convert videos between different web-ready formats - perfect for processing & resizing user-generated videos. Uses machine-learning to select the best frame as thumbnail for videos & creates video summaries similar to NLP for articles.
Reference implementation demonstrating features of Episerver Social
🔗 Automatically turns URLs into Hyperlinks for user-generated-content
A dynamic and interactive web application for sharing, rating, and discovering new recipes
Reference implementation of product reviews using Episerver Social
Demo on performing exploratory data analysis (EDA) on train service disruptions based on scrapped (user generated contents) tweets from the train operator's (SMRT) twitter account
Add a description, image, and links to the user-generated-content topic page so that developers can more easily learn about it.
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