CUSIM - Superfast implementation of Word2Vec and LDA¶
CUSIM is a project to speed up various ML models (e.g. topic modeling, word embedding, etc) by CUDA. It would be nice to think of it as gensim’s GPU version project. As a starting step, I implemented the most widely used word embedding model, the word2vec model, and the most representative topic model, the LDA (Latent Dirichlet Allocation) model.