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Stars gained: From Oct 22, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Oct 22, 2026 to Nov 4, 2026, each from zero05Oct 22Nov 4, 2026sarus-tech/tf2-published-modelswandb/wandb
Stars: The star count at the end of each dayStarsThe star count at the end of each day05K10KApr 26Nov 4, 2026sarus-tech/tf2-published-modelswandb/wandb

Facts

Factsarus-tech/tf2-published-models

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

wandb/wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Stars3711,314
Net stars, last 30 daysNot recorded+51
Largest star dayNot recorded+12 on Oct 13, 2026
Milestone reached in the recordNoneNone
Forks7915
LanguagePythonPython
LicenseAPACHE-2.0MIT
CreatedJul 6, 2020Mar 24, 2017
Last pushSep 23, 2021Nov 4, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases0 of 3 checks (2 without data)3 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)1 of 1 check
Health facts: Community files1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeksNo data523
Weeks with commits, last 52No data52 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: ai, tensorflow, keras. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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