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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). | udacity/deep-learning-v2-pytorch Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 |
|---|---|---|
| Stars | 1,732 | 5,522 |
| Net stars, last 30 days | +2 | +8 |
| Largest star day | +1 on Jul 23, 2026 | +3 on Jul 27, 2026 |
| Milestone reached in the record | None | None |
| Forks | 768 | 5,297 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | MIT | MIT |
| Created | Mar 22, 2017 | Sep 4, 2018 |
| Last push | Mar 24, 2023 | Nov 4, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 2 of 4 checks (2 without data) |
| Health facts: Releases | 0 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) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 12, 2026 | Nov 10, 2026 |
Topics that all of them have on the Repository Host: convolutional-networks, deep-learning. 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