kmike84

12 ms·

91.
by kmike84 11y ago
Another name for it is DAFSA ( https://en.wikipedia.org/wiki/Deterministic_acyclic_finite_s... ).
92.
by kmike84 11y ago
It looks like a job for an event loop (tornado/twisted/asyncio), not for a thread pool.
93.
by kmike84 11y ago
You can store a Trie or a DAFSA in a single chunk of memory and still have blazingly fast lookups - see double-array tries. The disadvantage is that inserting/removing values is more costly, but DAFSA doesn't support it anyways.
94.
by kmike84 11y ago
DAFSA is much smaller and faster, but you can't insert new items in DAFSA once it is created, and you can't attach arbitrary values to keys.
95.
by kmike84 11y ago
There is another good DAWG/DAFSA implementation - check https://code.google.com/p/dawgdic/ . In README of https://github.com/chalup/dawggenerator it is said it takes 55s to encode http:&
96.
by kmike84 11y ago
Nice! Any plans for fancier parsing algorithms (GLL? see e.g. http://www.cs.uwm.edu/~dspiewak/papers/generalized-parser-co... )
97.
by kmike84 11y ago
https://github.com/Suor/funcy is also nice
98.
by kmike84 11y ago
It is sometimes hard to justify a dependency - many of toolz/fn.py/funcy functions are not hard to write manually. The great thing about toolz is its https://github.com/pytoolz/cytoolz counterpart which provi
99.
by kmike84 12y ago
If you have a public repository anywhere (e.g. you've forked a project on github) then you can add a specific git commit to the requirements instead of pypi version. See https://pip.pypa.io/en/latest/reference
100.
by kmike84 12y ago
Looks good! Have you tried to evaluate your splitter on some other data, on this "typically used corpora"? The evaluation quality looks too optimistic - 98% / 100% quality means you made your code to work on your examples, bu
101.
by kmike84 12y ago
Actually it is from 2012 :)
102.
by kmike84 12y ago
https://glyph.twistedmatrix.com/2014/02/unyielding.html is a good read - there are reasons why explicit sync-async "coloring" (i.e. await/yield) is better than green threads/coroutines which au
103.
by kmike84 12y ago
In modern PSD files a lot of information is stored in "descriptors"; they are all parsed in an uniform way. Some of the information (like font data) is in undocumented "Raw Data" descriptors though. The official PSD spec
104.
by kmike84 12y ago
A cynical view on this could be the following: Numenta sells licenses, cortical.io sells api requests, they benefit from more developers using their tools. Commercial companies which fund deep learning research (like Microsoft and Google )
105.
by kmike84 12y ago
Sure they can, see e.g. http://nlp.stanford.edu/pubs/SocherChenManningNg_NIPS2013.pd... or http://arxiv.org/pdf/1301.3618v2.pdf . Check the first paper - when working on this problem researchers fr
106.
by kmike84 12y ago
It is not clear that these methods work better than "traditional" deep learning methods; in fact, they haven't produced any good results yet, and most experts think the hype around CLA is not because of its technical properti
107.
by kmike84 12y ago
It doesn't look like Automately is open source, but their API looks nice (based on examples from http://blog.automate.ly/ ).
108.
by kmike84 12y ago
I was under impression PhantomJS 2.x is rather active, but of course Splash contributions are welcome, that'd be great! Splash Web UI is quite similar to PhantomJS Pad UI - by default it shows a CodeMirror text editor (with a simple au
109.
by kmike84 12y ago
A shameless plug: https://github.com/scrapinghub/splash is an open source tool similar to Phantom JS, and it has an interactive web editor built-in. The concurrency model in Splash scripts is not the same as in Phantom
110.
by kmike84 12y ago
I agree that sample sizes are small, and there is no proper analysis done - the difference can be only from a chance. But the article states the difference is statistically significant and then draws a wrong conclusion from it (not accurate
111.
by kmike84 12y ago
The article does state that the difference is statistically significant: "Curiously, the musician group seemed to select the 16-bit dithered Vivaldi as the "better" sounding version (p-value 0.047)."
112.
by kmike84 12y ago
I think the conclusion ("there was no evidence that 24-bit audio could be appreciably differentiated from the same music dithered down to 16-bits") is not correct. EDIT: I'm not sure if the conclusion is correct or not, but t
113.
by kmike84 12y ago
> If you want to install a branch instead of master in a repo, you can do Pkg.checkout("name_of_package", branch="a_branch"). This kind of package management is much better than what is currently available for Python
114.
by kmike84 12y ago
An article was unexpectingly political: it is about a tournament with all players from top-10 except for those who are Russians, an article starts with bashing Russians and ends with bashing Russians? It even manages to mention Putin severa
115.
by kmike84 12y ago
Npm is impressive, but pypi is also growing nicely - currently it has 48k+ packages (the article is from Dec 2013)
116.
by kmike84 12y ago
> The example I'm thinking of is when I was trying to create a pipeline that would output a skeleton configuration file when you passed one switch and would process and serialize the data parsed when you passed another. It was possi
117.
by kmike84 12y ago
Hey, A good feedback, thanks! > XPath selectors just plain suck. Scrapy supports CSS selectors. > The item pipeline is way too straitjacketed. You have to do all sorts of fucking around with settings in order to make the sequence of e
118.
by kmike84 12y ago
I haven't read a book, only read a whitepaper and followed news around Numenta. Another difference is that deep learning works in practice to acheive state of the arts results, beat benchmarks and drive huge production systems, while C
119.
by kmike84 12y ago
Thanks! It was a pain. Especially if you've moved from Bitbucket where "stable" links to line numbers are default.
120.
by kmike84 12y ago
> The default encoding in Python 3 is utf-8, instead of the insane ascii default in Python 2. It is only a default encoding for Python source code. Library and builtin functions can still use another defaults. For example, builtin "

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