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Facts
| Fact | vlawhern/arl-eegmodels This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow | MLEveryday/100-Days-Of-ML-Code 100-Days-Of-ML-Code中文版 |
|---|---|---|
| Stars | 1,591 | 22,233 |
| Net stars, last 30 days | +22 | 0 |
| Largest star day | +4 on Oct 29, 2026 | +5 on Sep 19, 2026 |
| Milestone reached in the record | None | None |
| Forks | 336 | 5,449 |
| Language | Python | Python |
| License | Other license | MIT |
| Created | May 16, 2018 | Aug 5, 2018 |
| Last push | May 2, 2022 | Oct 24, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 3 of 4 checks |
| 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 |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks |
| Commits, last 13 weeks | No data | 24 |
| Weeks with commits, last 52 | No data | 4 of 52 |
| In the Repository Index since | Nov 12, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: deep-learning, keras, tensorflow. 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