vmarkovtsev

5 ms·

1.
To Build or to Empower: Software Engineering Career Paths Explained(athenian.com)
2 points by vmarkovtsev 4y ago|0 comments
2.
Awesome Machine Learning on Source Code(github.com)
3 points by vmarkovtsev 9y ago|0 comments
3.
by vmarkovtsev 10y ago
Me: https://twitter.com/tmarkhor/status/842347955390685184
4.
Multi-GPU Yinyang K-means and K-nn with native R and Python bindings(github.com)
3 points by vmarkovtsev 10y ago|0 comments
5.
by vmarkovtsev 10y ago
Agreed. Sent you a job proposal. We are http://sourced.tech
6.
GitHub contributions graph: 6 handshakes theory and PageRank(blog.sourced.tech)
5 points by vmarkovtsev 10y ago|0 comments
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Dataset: 452M commits on GitHub(data.world)
2 points by vmarkovtsev 10y ago|0 comments
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Hercules and his labours – Git repositories burndown(github.com)
1 points by vmarkovtsev 10y ago|0 comments
9.
Weighted MinHash on GPU helps to find duplicate GitHub repositories(blog.sourced.tech)
2 points by vmarkovtsev 10y ago|0 comments
10.
Hands on the most starred GitHub repositories(blog.sourced.tech)
1 points by vmarkovtsev 10y ago|0 comments
11.
Reading PySpark pickles locally(blog.sourced.tech)
1 points by vmarkovtsev 10y ago|0 comments
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Adding LZO support to Dataproc(blog.sourced.tech)
2 points by vmarkovtsev 10y ago|0 comments
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What's common between Chef and cooking; WinApi and pokemons?(blog.sourced.tech)
1 points by vmarkovtsev 10y ago|0 comments
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Jupyter VFS backend for Google Cloud Storage(github.com)
1 points by vmarkovtsev 10y ago|0 comments
15.
by vmarkovtsev 10y ago
I am working on the multi-gpu branch at the moment, but the memory constraints will remain the same (optimizing for the speed at this time). I do see the way to distribute memory across cards though, and it will be the next step. So yes, if
16.
by vmarkovtsev 10y ago
1. The number of samples must not exceed UINT32_MAX, that is, 4*10^9. The number of clusters must not exceed UINT32_MAX too. Number of dimensions must not exceed 12288 (GPU shared memory constraint). We successfully tested with 4M samples a
17.
by vmarkovtsev 10y ago
97x improvement is actually very suspicious. Thanks for the article!
18.
by vmarkovtsev 10y ago
Thanks. Actually, I like DBSCAN a lot and use it often, though I am not much familiar with it's internals. It looks like it is iterative and thus does not fit very well to a GPU. The only way I see is to pick several seed points at sta
19.
by vmarkovtsev 10y ago
This is an exciting opportunity, thanks, we will study it.
20.
by vmarkovtsev 10y ago
Here. Please don't bite :)
21.
by vmarkovtsev 10y ago
Data source is GitHub of course - it's in the article title, so I don't quite get you... We used go-git to fetch every repo out there.
22.
by vmarkovtsev 10y ago
The age is April 2016. The source is github.com/src-d/go-git-ing
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Veles: Distributed platform for rapid deep learning application development(velesnet.ml)
154 points by vmarkovtsev 11y ago|14 comments
24.
by vmarkovtsev 11y ago
This is very similar to what we did in Samsung several years ago: https://velesnet.ml