Ytk Learn
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ytk Learn | 351 | 2 years ago | n,ull | mit | Java | |||||
| Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax). | ||||||||||
| Fwumious_wabbit | 128 | 3 months ago | 4 | other | Rust | |||||
| Fwumious Wabbit, fast on-line machine learning toolkit written in Rust | ||||||||||
| Ctr Keras | 64 | 3 years ago | 1 | Python | ||||||
| Tensorflow2.x implementations of CTR（LR、FM、FFM) | ||||||||||
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