| twinning | SHOGUN | |
|---|---|---|
| 1 | 1 | |
| 24 | 3,006 | |
| - | 0.2% | |
| 0.0 | 4.8 | |
| over 1 year ago | 5 months ago | |
| C++ | C++ | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
twinning
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[R] [S] Data Twinning
The R package for twinning can be installed from CRAN, and the Python module from GitHub.
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?
secure-xgboost - Secure collaborative training and inference for XGBoost.
mlpack - mlpack: a fast, header-only C++ machine learning library
GPBoost - Combining tree-boosting with Gaussian process and mixed effects models
Caffe - Caffe: a fast open framework for deep learning.
MLPP - A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
oneDAL - oneAPI Data Analytics Library (oneDAL)
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
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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