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Facts
| Fact | curiousily/Getting-Things-Done-with-Pytorch Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER | microsoft/computervision-recipes Best Practices, code samples, and documentation for Computer Vision. |
|---|---|---|
| Stars | 2,517 | 9,887 |
| Net stars, last 30 days | +7 | +5 |
| Largest star day | +3 on Sep 2, 2026 | +4 on Sep 16, 2026 |
| Milestone reached in the record | None | None |
| Forks | 638 | 1,202 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | APACHE-2.0 | MIT |
| Created | Jan 31, 2020 | Feb 11, 2019 |
| Last push | Jun 30, 2024 | Feb 16, 2024 |
| Archived | No | Yes |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 0 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (2 without data) | 0 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 data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 11, 2026 | Nov 10, 2026 |
Topics that all of them have on the Repository Host: deep-learning, machine-learning, computer-vision, object-detection, tutorial. 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