Alternatives
Products that do what Spam classifier in Go using Naive Bayes does
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2017 · github.com
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2016 · stavros.io
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2016 · ioloop.io
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Hey all, author here! This is a demo of the rules engine we built to fight spam/abuse on the internet. It was built based on learnings from Facebook & Google, while trying to make a language that makes it simple for anti-spam analysts to quickly (and safely) deploy rules to production. Unfortunately it looks like the Twitter event feed is temporarily down (they're blocking it, possibly as part of shutting down the API on Thursday). I have a cache of events from a little earlier that I'm going to try play through the stream.
2023 · websqrl.vercel.app
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Want something better than k-means? I'm happy to announce our SOTA k-medoids algorithm from NeurIPS 2020, BanditPAM, is now publicly available! `pip install banditpam` or `install.packages("banditpam")` and you're good to go! k-means is one of the most widely-used algorithms to cluster data. However, it has several limitations: a) it requires the use of L2 distance for efficient clustering, which also b) restricts the data you're clustering to be vectors, and c) doesn't require the means to be datapoints in the dataset. Unlike in k-means, the k-medoids problem requires cluster centers to be…
2023 · github.com
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