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Stars gained: From May 18, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 18, 2026 to Nov 13, 2026, each from zero050100May 18Nov 13, 2026experiencor/keras-yolo2timeseriesAI/tsai
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K4K6KMay 10Nov 13, 2026experiencor/keras-yolo2timeseriesAI/tsai

Facts

Fact experiencor/keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

timeseriesAI/tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Stars 1,7326,144
Net stars, last 30 days +2+16
Largest star day +1 on Jul 23, 2026+5 on Jul 20, 2026
Milestone reached in the record NoneNone
Forks 768722
Language Jupyter NotebookJupyter Notebook
License MITAPACHE-2.0
Created Mar 22, 2017Sep 30, 2019
Last push Mar 24, 2023Jul 23, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (1 without data)2 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: deep-learning, regression. 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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