Explore
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.
Test
Experiment with dozens of popular benchmark datasets and sample baseline implementations. Vecto framework is even compatible with multi-lingual experiment designs.
Track
Vecto helps to you keep track of your experiments. Metadata is assimilated and aggrageted at each step of the piupleine as JSON sniupepts.