DMTK is a distributed machine learning toolkit from Microsoft that bundles multiple ML projects. It includes LightGBM, a high-performance gradient boosting framework for ranking and classification; LightLDA for large-scale topic modeling; Multiverso, a parameter server framework for distributed training; and distributed word embedding algorithms. The toolkit enables scalable machine learning across distributed compute clusters.