SHOGUN
awesome-theoretical-computer-science
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| SHOGUN | awesome-theoretical-computer-science | |
|---|---|---|
| 1 | 12 | |
| 3,005 | 596 | |
| 0.5% | - | |
| 4.8 | 4.0 | |
| 4 months ago | 23 days ago | |
| C++ | Python | |
| BSD 3-clause "New" or "Revised" License | Creative Commons Zero v1.0 Universal |
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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.
awesome-theoretical-computer-science
- Looking for sources similar to this (linked below) but for CS
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European theoretical computer science summer schools, conferences or events taking place this summer?
Now that I have a look at it, the Awesome Theoretical Computer Science list seems to be having nice resources.
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Learning math for Computer Science
Check out Math/Logic preliminaries section in TCS awesome list
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Best books about computer science theory?
Here is link number 1 - Previous text "TCS"
- Changing std:sort at Google’s Scale and Beyond
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Theoretical Computer Science Courses
See TCS awesome list
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What Are You Working On? February 28, 2022
I proudly moderate TCS's subreddit and TCS awesome list. I also do organize online study groups like Erik's algorithms and Math for ML (websites will be updated soon)
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[P] Invitation for a reference list for machine learning theory
I had contributed before to TCS and Math awesome lists, and it would be nice if you joined your experience to build them up.
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Advice for Graduate School
See Blog Posts and Essays section here.
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Mathematics For Computer Science Problemoriented
There is already a TCS awesome list here.
What are some alternatives?
mlpack - mlpack: a fast, header-only C++ machine learning library
awesome-oss-alternatives - Awesome list of open-source startup alternatives to well-known SaaS products 🚀
Caffe - Caffe: a fast open framework for deep learning.
awesome-youtubers - An awesome list of awesome YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
fluxsort - A fast branchless stable quicksort / mergesort hybrid that is highly adaptive.
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.
crumsort - A branchless unstable quicksort / mergesort that is highly adaptive.
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
computer-science - :mortar_board: Path to a free self-taught education in Computer Science!