Jeremy-Gitau/on-device-ml-kotlin

Jupyter Notebook

1 contributors

Apache License 2.0

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Momentum

How fast Jeremy-Gitau/on-device-ml-kotlin is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 9 – Oct 22, 2026

Stars +0 in 14 days

Forks +0 in 14 days

Merged PRs 0 in 14 days

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 9Oct 11Oct 13Oct 15Oct 17Oct 19Oct 21

Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day	Stars gained	Forks gained	Merged PRs
Fri, Oct 9, 2026	+0	+0	0
Sat, Oct 10, 2026	+0	+0	0
Sun, Oct 11, 2026	+0	+0	0
Mon, Oct 12, 2026	+0	+0	0
Tue, Oct 13, 2026	+0	+0	0
Wed, Oct 14, 2026	+0	+0	0
Thu, Oct 15, 2026	+0	+0	0
Fri, Oct 16, 2026	+0	+0	0
Sat, Oct 17, 2026	+0	+0	0
Sun, Oct 18, 2026	+0	+0	0
Mon, Oct 19, 2026	+0	+0	0
Tue, Oct 20, 2026	+0	+0	0
Wed, Oct 21, 2026	+0	+0	0
Thu, Oct 22, 2026	+0	+0	0
Total	+0	+0	0

#1 on the list
Rank that day
Not trending

Social mentions

Recent discussions about this repository across the web

Oct 102 posts
- 🔹 Converting doesn't shrink the model much. The .tflite file is roughly the same size as the original. Making it smaller and faster is a separate step called quantization, coming later in the series.
  Read full on X, posted by @_JeremyGitau
  @_JeremyGitau · x.com
- Kicking off Part 2 of On Device ML with Kotlin: running our first model in Kotlin 🚀 But before any Kotlin, we need a model. So I took an existing one, MobileNet V2, converted it to LiteRT (.tflite),…
  Read full on X, posted by @_JeremyGitau
  @_JeremyGitau · x.com