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espressif
esp-dl
Assembly2024–2024
espressif / esp-dl

esp-dl

Espressif deep-learning library for AIoT applications

2Distinct people
2Mentions
0Explicit recommenders
1.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Espressif deep-learning library for AIoT applications

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2024-06-25 04:01:22 UTC to 2024-06-25 05:34:42 UTC.

012024-06-25 04:00:00 UTC to 2024-06-25 05:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 25, 04:002024-06-25 05:00:00 UTC to 2024-06-25 06:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 25, 05:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
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PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 25, 04:002024-06-25 04:00:00 UTC2024-06-25 05:00:00 UTC101
Jun 25, 05:002024-06-25 05:00:00 UTC2024-06-25 06:00:00 UTC101

What Hacker News says

2 sources
Thanks for reading! > What are some use cases for FAST? The FAST feature detector is an algorithm for finding regions of an image that are visually distinctive, which can be used as a first step in motion tracking and SLAM (simultaneous localization and mapping) algorithms typically seen in XR, robotics, etc. > Is there TPU-like functionality in anything in this price range of chips yet? I think that in the case of the ESP32-S3, its SIMD instructions are designed to accelerate the inference of quantized AI models (see: https://github.com/espressif/esp-dl), and also some signal processing like FFTs. I guess you could call the SIMD instructions TPU-like, in the sense that the chip has specific instructions that facilitates ML inference (EE.VRELU.Sx performs the ReLU operation). Using these instructions will still take away CPU time where TP
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Us are typically their own processing core, operating asynchronously. I’d say this is closer to ARM NEON.
In SIMD-accelerated computer vision on a $2 microcontroller

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