jonsafari / nmt-list Goto Github PK

as this is good for comparing to sockeye and fairseq

Much thanks for the helpful list

Some items are not MT, for example Google's textsum is not machine translation but text summarisation.

Should the list description be widened or should those items go in a separate list?

RNNsearch is based on tensorflow..not theano
see
https://github.com/XMUNLP/RNNsearch/blob/master/model/nmt.py
:-)

https://github.com/caffe2/caffe2/blob/master/caffe2/python/examples/seq2seq.py
this link generated 404

I found
https://github.com/caffe2/caffe2/tree/master/caffe2/python/models/seq2seq
I found
https://github.com/caffe2/caffe2/blob/master/caffe2/python/models/seq2seq/translate.py
but going up one level on this url (to seq2seq)
changes the url to
https://github.com/caffe2/caffe2/tree/master/caffe2/python/models/seq2seq
not sure exactly how this works..but the source suggests it is a translator..but I found no instructions on configuration on invocation.

The list is awesome. It'd be great if you can add Texar to the list :)

Texar is an open source toolkit aiming to support a broad set of machine learning especially text generation tasks, such as machine translation, dialog, summarization, content manipulation, language modeling, and more. Texar is based on TensorFlow, and is designed to be highly modularized, versatile, and extensible, to support arbitrary model architectures and algorithmic paradigms:


• encoder(s) to decoder(s), sequential- and self-attentions, memory, hierarchical models, classifiers, ...

• maximum likelihood learning, reinforcement learning, adversarial learning, probabilistic modeling, ...

More details:

• Website: https://texar.io
• GitHub: https://github.com/asyml/texar
• Examples: https://github.com/asyml/texar/blob/master/examples
• Documentation: https://texar.readthedocs.io/
• Tech report: https://arxiv.org/pdf/1809.00794.pdf

https://github.com/facebookresearch/fairseq-py is the currently supported version of this source base..I believe
:-)
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