Some AI applications I found for BGs

This page summarizes the projects mentioned and recommended in the original post on /r/visualnovels

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • White-box-Cartoonization

    Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

  • [NOT FOR COMMERCIAL USE] Cartoonizer Demo, made by Niraj Pandkar and Tejas Mahajan. Though the online demo was made by these two, the original GitHub repository along with the research paper was made by Xinrui Wang and Jinze Yu.

  • CartoonGAN-Test-Pytorch-Torch

    Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]

  • [Commercial Use OK] Anime Background GAN, by Sho Akiyama. The maximum size for input photos appears to be 1280 pixels for length and/or height, and you can choose from 4 different styles for the generation to be based off of. The original implementation came from Yijun Li.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • AnimeGANv3

    Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

  • [Not For Commercial Use, Unless With Author's Consent] AnimeGAN Demo, by Long (Tony) Lian. You may need a fairly strong computer for this one, or the website may otherwise crash. The original GitHub repository was made by Asher Chan, who you need to contact in the case you want to use these materials commercially.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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