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Facts
| Fact | IBM/MAX-Text-Sentiment-Classifier Detect the sentiment captured in short pieces of text | chiphuyen/stanford-tensorflow-tutorials This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. |
|---|---|---|
| Stars | 56 | 10,373 |
| Net stars, last 30 days | 0 | +1 |
| Largest star day | +1 on Jul 22, 2026 | +3 on Sep 29, 2026 |
| Milestone reached in the record | None | None |
| Forks | 31 | 4,225 |
| Language | Python | Python |
| License | APACHE-2.0 | MIT |
| Created | Mar 19, 2019 | Nov 5, 2016 |
| Last push | Sep 17, 2025 | Dec 22, 2020 |
| Archived | No | Yes |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 0 of 4 checks (2 without data) |
| Health facts: Releases | 1 of 3 checks (1 without data) | 1 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 | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: machine-learning, tensorflow, nlp, natural-language-processing. 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