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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).
kanyun-inc/ytk-learn’s past year of commit activity - fairseq-gec Public
Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
kanyun-inc/fairseq-gec’s past year of commit activity - commonsense-rc Public
Code for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
kanyun-inc/commonsense-rc’s past year of commit activity - ytk-mp4j Public
Ytk-mp4j is a fast, user-friendly, cross-platform, multi-process, multi-thread collective message passing java library which includes gather, scatter, allgather, reduce-scatter, broadcast, reduce, allreduce communications for distributed machine learning.
kanyun-inc/ytk-mp4j’s past year of commit activity