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Facts
| Fact | Xtra-Computing/thundersvm ThunderSVM: A Fast SVM Library on GPUs and CPUs | liquidSVM/liquidSVM Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression. |
|---|---|---|
| Stars | 1,627 | 71 |
| Net stars, last 30 days | +4 | Not recorded |
| Largest star day | +2 on Oct 19, 2026 | Not recorded |
| Milestone reached in the record | None | None |
| Forks | 222 | 9 |
| Language | C++ | C++ |
| License | APACHE-2.0 | AGPL-3.0 |
| Created | Dec 11, 2014 | Apr 22, 2017 |
| Last push | Apr 1, 2024 | Feb 20, 2020 |
| Archived | No | No |
| 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 (3 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: classification, regression, c-plus-plus. 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