http://iebkxzjscv4jgaucepdbdf4b7bqmcwd5peulm5cbpoavlsnkfhda5gyd.onion/ddtss/index.cgi/ru/translate/python3-thinc
It feature s a battle-tested linear model designed for large sparse
learning problems, and a flexible neural network model under development
for spaCy v2.0 < https://spacy.io/usage/v2 > .
.
Thinc is a practical toolkit for implementing models that follow the " Embed, encode, attend, predict " architecture. It ' s designed to be easy
to install , efficient for CPU usage and optimised for NLP and deep
learning with text – in particular, hierarchically structured input
and...