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author | Ajay Ramachandran <[email protected]> | 2020-03-10 12:11:08 -0400 |
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committer | GitHub <[email protected]> | 2020-03-10 12:11:08 -0400 |
commit | 1e26faa57c9fba6e6984632dc02848e3cd8301e1 (patch) | |
tree | 3bf12b54afd1026ff6e903d303ec73350db8101a /README.md | |
parent | 77eff12d9be51df62796b0b6038806fa81ee601c (diff) | |
download | SponsorBlock-1e26faa57c9fba6e6984632dc02848e3cd8301e1.tar.gz SponsorBlock-1e26faa57c9fba6e6984632dc02848e3cd8301e1.zip |
Update README.md
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-rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -42,7 +42,7 @@ It is a simple Sqlite database that will hold all the timing data. To make sure that this project doesn't die, I have made the database publicly downloadable at https://sponsor.ajay.app/database.db. You can download a backup or get archive.org to take a backup for you if you want. -The dataset and API are now being used [ports](https://github.com/ajayyy/SponsorBlock/wiki/Unofficial-Ports) as well as a [neural network](https://github.com/andrewzlee/NeuralBlock). +The dataset and API are now being used in some [ports](https://github.com/ajayyy/SponsorBlock/wiki/Unofficial-Ports) as well as a [neural network](https://github.com/andrewzlee/NeuralBlock). A [previous project](https://github.com/Sponsoff/sponsorship_remover) attempted to create a neural network to predict when sponsored segments happen. That project is sadly abandoned now, so I have decided to attempt to revive this idea starting from a crowd-sourced system instead. |