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@explosion_ai, our new digital studio for custom#NLProc and machine learning models.https://explosion.ai/blog/introducing-explosion-ai …Thanks. Twitter will use this to make your timeline better. Undo -
Matthew Honnibal Retweeted
#Python code (3.5+),#Tensorflow experiments and#Jupyter notebooks: https://github.com/bioinf-jku/SNNs https://twitter.com/hardmaru/status/873222472346198016 …
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Matthew Honnibal Retweeted
This is the magic SELU activation function.pic.twitter.com/NLisG2hihQ
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Matthew Honnibal Retweeted
The "Whoa are you serious" award for an Appendix goes to "Self-Normalizing Neural Networks" https://arxiv.org/abs/1706.02515 proposes "selu" nonlin
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Matthew Honnibal Retweeted
17 (!!) Phd and post-doc positions available at newly funded SFB on linguistic variability and stability
@unipotsdam http://www.uni-potsdam.de/sfb1287/vacancies.html …Thanks. Twitter will use this to make your timeline better. Undo -
We just need to make it less arcane. Esp. good would be Cython-CUDA. We write CUDA in strings, like beasts. We can do better. 5/ /thread
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JIT compilation is no solution. The programmer *must* make decisions. The C extension story in Python is great. Let's do more of this. 4/
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Programming *entirely* against flat memory buffers is no way to live. The performancish dialect of Python is very hard to read and write 3/
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You can't plan out memory in pure Python. How much memory for list of 10**6 ints take? I dunno -- a lot? with numpy, 4mb. Good. But! 3/
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Many problems are much easier if you simply sit down and plan out how your data will be laid out in memory. This is not hard! 2/
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So, how can AI in Python be even better? First: accept and embrace native extensions (esp. Cython) Currently seen as last resort. 1/
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Excited to be giving a keynote at PyCon Israel next week
@pyconil
http://www.pycon.org.il/wwwpyconIL/agenda-table …
Here's what I'll be talking about:pic.twitter.com/BumMZpUDaQ
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Matthew Honnibal Retweeted
So I took some time and wrote this medium post about this language generation paper. https://medium.com/@yoav.goldberg/an-adversarial-review-of-adversarial-generation-of-natural-language-409ac3378bd7 …https://twitter.com/weballergy/status/872836359513419781 …
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Matthew Honnibal Retweeted
New mini library: termynal.js – lightweight & modern terminal animations with async/await, CSS & plain HTML API.
https://github.com/ines/termynal pic.twitter.com/E76UdSTFMEThanks. Twitter will use this to make your timeline better. Undo -
Matthew Honnibal Retweeted
Gran noticia!
@spacy_io, tu librería de#PLN, habla ESPAÑOL!!

un lujo colaborar con los maestros @explosion_aihttps://twitter.com/spacy_io/status/872043211300253701 …
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Matthew Honnibal Retweeted
spaCy now speaks Spanish!
Available for v1.8+, and coming soon for v2.0 alpha. For more info, see the models docs: https://spacy.io/docs/usage/models …pic.twitter.com/xGN1lqJYF7
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Matthew Honnibal Retweeted
Call for Machine Learning research mentor. July 3-14. Ghana MISE research foundation. For more details please contact me negar@elementai.com
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Matthew Honnibal Retweeted
Excited to announce spaCy v2.0.0 alpha! New: neural model (15 MB), GPU, Pickle & many training & API improvements.http://alpha.spacy.io/docs/usage/v2
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1296 combinations! No wonder this is taking so long...
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Train {parser,tagger,ner} on {py2,py3} {cpu,gpu} {osx,*nix,win} save to {bytes,disk,pickle}. Test on {py2,py3} {cpu,gpu} {osx,*nux,win}.
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Matthew Honnibal Retweeted
Sleep well tonight.https://twitter.com/thingswork/status/869395007064621057 …
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