"DyNet (formerly known as cnn)
is a neural network library developed by Carnegie Mellon University and
many others. It is written in C++ (with bindings in Python) and is
designed to be efficient when run on either CPU or GPU, and to work well
with networks that have dynamic structures that change for every
training instance. For example, these kinds of networks are particularly
important in natural language processing tasks, and DyNet has been used
to build state-of-the-art systems for syntactic parsing, machine translation, morphological inflection, and many other application areas.
Read the documentation to get started, and feel free to contact the dynet-users group
group with any questions (if you want to receive email make sure to
select "all email" when you sign up). We greatly appreciate any bug
reports and contributions, which can be made by filing an issue or
making a pull request through the github page."
https://github.com/clab/dynet
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