Get dozens of published embeddings. Experiment with word2vec, GloVe and dozens of other pre-trained and published embeddings with the convenience of Python. Vecto supports all the most popular formats: txt, npy, bin, and hdf5.
Roll your own
Develop your own embedding models with a growing library of sample implementations and deep learning frameworks accessible from Vecto.
Experiment with dozens of popular benchmark datasets and sample baseline implementations. Vecto framework is even compatible with multi-lingual experiment designs.
Vecto helps to you keep track of your experiments. Metadata is assimilated and aggrageted at each step of the piupleine as JSON sniupepts.