SHOGUN
awesome-algorithms
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| SHOGUN | awesome-algorithms | |
|---|---|---|
| 1 | 34 | |
| 3,003 | 17,525 | |
| 0.4% | - | |
| 4.8 | 3.0 | |
| 4 months ago | 2 months ago | |
| C++ | ||
| BSD 3-clause "New" or "Revised" License | - |
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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-algorithms
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Anyone interested in contributing to Algorithm opensource with me?
Solved. https://github.com/tayllan/awesome-algorithms
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I didn't go to a IT/CS school, what's the most important concepts i should learn in computer since that will immensely help me as a dev?
This repo.
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Could anyone who purchased and completed Leetcodes's interview crash course "Data Structures and Algorithms" tell me if it's worth the 80 dollars?
I found this with zero effort: https://github.com/tayllan/awesome-algorithms. Just pick one of the courses there if you can't make up your mind.
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Alternative to geeksforgeeks.org ?
https://github.com/tayllan/awesome-algorithms this curated list should be able to help you find more
- Algorithms
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100+ Must Know Github Repositories For Any Programmer
2. Awesome Algorithms
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Karimov's "The Complete Data Structures and Algorithms Course in Python" on Udemy?
Also, GitHub: Awesome algorithms — curated list of resources to learn and/or practice algorithms
- Looking for sources similar to this (linked below) but for CS
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Sorting algorithms visualized using the Blender Python API
See also https://github.com/tayllan/awesome-algorithms for a list of interactive visualizations, learning resources, etc.
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Best books about computer science theory?
Check out TCS, Algorithms, and Math awesome lists.
What are some alternatives?
mlpack - mlpack: a fast, header-only C++ machine learning library
C - Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Caffe - Caffe: a fast open framework for deep learning.
awesome-math - A curated list of awesome mathematics resources
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
crumsort - A branchless unstable quicksort / mergesort that is highly adaptive.
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
fluxsort - A fast branchless stable quicksort / mergesort hybrid that is highly adaptive.
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.
xeus-cling - Jupyter kernel for the C++ programming language
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
awesome-django - A curated list of awesome things related to Django