clean-discord
Cleaning discord data for NLP (by JEF1056)
MaskTheFace
Convert face dataset to masked dataset (by aqeelanwar)
clean-discord | MaskTheFace | |
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2 | - | |
22 | 554 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | 10 months ago | |
Python | Python | |
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
clean-discord
Posts with mentions or reviews of clean-discord.
We have used some of these posts to build our list of alternatives
and similar projects.
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Massive multi-turn conversational dataset based on cleaned discord data
Splitting up the data currently isn't in the plans yet; if someone (or you) could create a classifier (NOTE: please, please optimize it, the amount of data to process here is not trivial) to split the data into the relevant groups, go ahead and create a branch and pull request to https://github.com/JEF1056/clean-discord and hopefully I can do that for the next release, which is slated toward the end of the year. I can provide small snippets of some of the raw JSON data so you can understand how it's formatted.
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[R] Massive multi-turn conversational dataset based on cleaned discord data
Included in the raw data are a lot of unwanted, non-language behaviors; these include massive blocks of code, bot commands, bot messages, ASCII art, messages with only images attached, messages containing only unicode (non-standard) spaces, etc. Other messages are considered "toxic", e.g. falling under the categories: toxic, obscene, threatening, insulting, or identity hate. The regex and cleaning code can be found here.
MaskTheFace
Posts with mentions or reviews of MaskTheFace.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning MaskTheFace yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing clean-discord and MaskTheFace you can also consider the following projects:
insightface - State-of-the-art 2D and 3D Face Analysis Project
facenet - Face recognition using Tensorflow
EagleEye - Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.
howdy - 🛡️ Windows Hello™ style facial authentication for Linux