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Stars gained: From May 12, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 12, 2026 to Nov 13, 2026, each from zero0200400May 12Nov 13, 2026google-research-datasets/Objectronteddylee777/machine-learning
Stars: The star count at the end of each dayStarsThe star count at the end of each day2.5K3KMay 9Nov 13, 2026google-research-datasets/Objectronteddylee777/machine-learning

Facts

Fact google-research-datasets/Objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

teddylee777/machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Stars 2,3623,293
Net stars, last 30 days +5+9
Largest star day +3 on Jul 18, 2026+119 on Jul 15, 2026
Milestone reached in the record NoneNone
Forks 268935
Language Jupyter NotebookJupyter Notebook
License Other licenseNo license
Created Oct 19, 2020Sep 2, 2018
Last push Mar 6, 2026Aug 13, 2025
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)0 of 3 checks (2 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)0 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 11, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: deep-learning, machine-learning, python, tensorflow, pytorch, neural-network. 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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