awesome-theoretical-computer
SHOGUN
awesome-theoretical-computer | SHOGUN | |
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1 | 1 | |
- | 3,005 | |
- | 0.2% | |
- | 4.8 | |
- | 4 months ago | |
C++ | ||
- | BSD 3-clause "New" or "Revised" License |
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awesome-theoretical-computer
SHOGUN
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Changing std:sort at Google’s Scale and Beyond
The function is trying to get the median, which is not defined for an empty set. With this particular implementation, there is an assert for that:
https://github.com/shogun-toolbox/shogun/blob/9b8d85/src/sho...
Unrelatedly, but from the same section:
> Fixes are trivial, access the nth element only after the call being made. Be careful.
Wouldn't the proper fix to do the nth_element for the larget element first (for those cases that don't do that already) and then adjust the end to be the begin + larger_n for the second nth_element call? Otherwise the second call will check [begin + larger_n, end) again for no reason at all.
What are some alternatives?
crumsort - A branchless unstable quicksort / mergesort that is highly adaptive.
mlpack - mlpack: a fast, header-only C++ machine learning library
awesome-theoretical-computer-science - The interdicplinary of Mathematics and Computer Science, Distinguisehed by its emphasis on mathemtical technique and rigour.
Caffe - Caffe: a fast open framework for deep learning.
fluxsort - A fast branchless stable quicksort / mergesort hybrid that is highly adaptive.
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
xeus-cling - Jupyter kernel for the C++ programming language
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
awesome-algorithms - A curated list of awesome places to learn and/or practice algorithms.
vowpal_wabbit - Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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