#mlpack
Live, measured metrics for the hashtag #mlpack from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mlpack
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 · mastodon.social (Mastodon public tags API) · fetched 2026-10-30 21:16 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-30 21:16 UTCNo related tags with measured usage found for #mlpack.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-30 21:16 UTCEverything below is measured over the latest 7 public posts (spanning ~22014 hours).
Posting hours (UTC)
Languages: English (7)
Avg boosts / post: 0.7
Used together with
Top of the latest posts
duckdb-mlpack 0.0.5: Added kmeans, version helpers, documentation Bringing mlpack machine learning to duckdb SQL https://dirk.eddelbuettel.com/blog/2025/12/02#duckdb-mlpack_0.0.5 #duckdb #datascience #mlpack Added kmeans, version helpers, d
duckdb-mlpack 0.0.3: macOS binaries, unit tests, more outputs Bringing mlpack machine learning to duckdb SQL https://dirk.eddelbuettel.com/blog/2025/11/03#duckdb-mlpack_0.0.3 #duckdb #mlpack
New v4.4.0 of #mlpack's #rstats bindings is now available! Package linking, new C++17 features, verbose logging is fixed, global verbose option, and more! https://cran.r-project.org/web/packages/mlpack https://github.com/mlpack/mlpack/relea
What “mlpack” means
Wikipediamlpack is a free, open-source and header-only software library for machine learning and artificial intelligence written in C++, built on top of the Armadillo library and the ensmallen numerical optimization library. mlpack has an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert u
“Mlpack” on Wikipedia (CC BY-SA) →#mlpack across platforms
every network with a public tag surfaceFollow #mlpack straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/mlpack