Open Source goodies from Google and Facebook

Google today open sourced the most accurate parser (they claim!) - Syntaxnet.
Post: https://research.googleblog.com/2016/05/announcing-syntaxnet-worlds-most.html?m=1

Facebook open sourced their version of Neural Translation System using CNNs.
Post: https://code.facebook.com/posts/1978007565818999/a-novel-approach-to-neural-machine-translation/.
GitHub: https://github.com/facebookresearch/fairseq

While traditionally translation tasks were done using RNNs, they claim the novel CNN approach beat the other approaches by 9x the speed and are more accurate as well.

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Free Google Doodles + Sketch RNN.

Google Research Blog: https://research.googleblog.com/2017/04/teaching-machines-to-draw.html
Data: https://quickdraw.withgoogle.com/data
arXiv: https://arxiv.org/abs/1704.03477
Code: https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn