#wasserstein
Live, measured metrics for the hashtag #wasserstein from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #wasserstein
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:39 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 11:39 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:39 UTCEverything below is measured over the latest 40 public posts (spanning ~57954 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (39)
Avg boosts / post: 0.6
Top of the latest posts
Checkout the new #TopologyToolKit Example Website! Dozens of #TopologicalDataAnalysis pipelines. 🧑🎓Today, learn how to compute the #Wasserstein distance between the #PersistenceDiagrams of two datasets in 48 lines of #Python👇 https://to
This #CMSPaper investigates different #AI #machinelearning methods that aim to find jets that are inconsistent with the standard model. It shows that a new method called #Wasserstein normalized autoencodes works much better than other neura
The #Wasserstein distance 📐, aka Earth Mover’s Distance (#EMD), provides a robust and insightful approach for comparing #ProbabilityDistributions 📊. I’ve composed a #Python tutorial 🐍 that explains the #OptimalTransport problem required
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/wasserstein