#Opacus

Live, measured metrics for the hashtag #Opacus from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #opacus

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.

$520.70/ year · 6-character #name
Claim #opacus — $520.70/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0.3
Avg reactions / post
Mastodon · last 3
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-27 16:52 UTC
0
10-21
0
10-22
0
10-23
0
10-24
0
10-25
0
10-26
0
10-27

0 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 2026-10-27 16:52 UTC

No related tags with measured usage found for #opacus.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-27 16:52 UTC

Everything below is measured over the latest 3 public posts (spanning ~47433 hours).

Top of the latest posts

  • Small clinical datasets burn privacy budget fast. In this guide, we train with #DifferentialPrivacy (DP‑SGD) in #PyTorch using #Opacus, tune clipping (C) + noise (σ), and plot AUROC vs ε to choose a defensible point. Read: https://codelabsa

    Code Labs Academy@codelabsacademyupdates♥ 1↻ 12026-01-29 19:58 UTCView post →
  • Дифференциальная приватность в ML Привет, Хабр! Сегодня поговорим в коротком формате о защите данных при обучении моделей, а именно в процессе обучения. Никому не понравится, если ваша нейросеть вдруг выдаст чужие паспортные данные или меди

    Habr@[email protected]♥ 0↻ 12025-12-03 16:42 UTCView post →
  • Für das Training von PyTorch-Modellen mit Differential Privacy bietet Opacus mehr Leistung und höhere Skalierbarkeit, versprechen die Facebook-Forscher. Machine Learning: Facebook gibt PyTorch-Library Opacus als Open Source frei #Differenti

    heise online (inoffiziell)@[email protected]♥ 0↻ 02020-09-01 10:41 UTCView post →

What “opacus” means

Wikipedia

Opacus is a cloud variety that is found in stratocumulus, altocumulus, altostratus, and stratus cloud types. This cloud variety has a dark and opaque appearance and hides the location of the Sun and Moon. This makes it the opposite of translucidus, which is translucent and gives away the location of the Sun and Moon.

“Opacus (cloud variety)” on Wikipedia (CC BY-SA) →

#opacus across platforms

every network with a public tag surface

Follow #opacus 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/opacus