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Add Containers::sparsepp, Logging::loguru, ML::xgboost

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@@ -221,6 +221,7 @@ A curated list of awesome C/C++ frameworks, libraries, resources, and shiny thin
* [Hashmaps](https://github.com/goossaert/hashmap) - Implementation of open addressing hash table algorithms in C++. [MIT]
* [Hopscotch map](https://github.com/Tessil/hopscotch-map) - A fast header-only hash map which uses hopscotch hashing for collisions resolution. [MIT]
* [LSHBOX](https://github.com/RSIA-LIESMARS-WHU/LSHBOX) - A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support Python and MATLAB. [GPL]
* [sparsepp](https://github.com/greg7mdp/sparsepp) - A fast, memory efficient hash map for C++. [BSD 3-clause]
## Cryptography
*Cryptography and Encryption Libraries*
@@ -426,6 +427,7 @@ A curated list of awesome C/C++ frameworks, libraries, resources, and shiny thin
* [glog](https://github.com/google/glog) - C++ implementation of the Google logging module.
* [Log4cpp](http://log4cpp.sourceforge.net/) - A library of C++ classes for flexible logging to files, syslog, IDSA and other destinations. [LGPL]
* [log4cplus](https://github.com/log4cplus/log4cplus) - A simple to use C++ logging API providing thread-safe, flexible, and arbitrarily granular control over log management and configuration. [BSD & Apache2]
* [loguru](https://github.com/emilk/loguru) - A lightweight C++ logging library. [PublicDomain]
* [plog](https://github.com/SergiusTheBest/plog) - Portable and simple C++ logging library. [MPL2]
* [reckless](https://github.com/mattiasflodin/reckless) - Low-latency, high-throughput, asynchronous logging library for C++. [MIT]
* [spdlog](https://github.com/gabime/spdlog) - Super fast, header only, C++ logging library.
@@ -445,6 +447,7 @@ A curated list of awesome C/C++ frameworks, libraries, resources, and shiny thin
* [RNNLIB](https://github.com/szcom/rnnlib) - RNNLIB is a recurrent neural network library for sequence learning problems. [GPLv3]
* [SHOGUN](https://github.com/shogun-toolbox/shogun) - The Shogun Machine Learning Toolbox. [GPLv3]
* [sofia-ml](https://code.google.com/p/sofia-ml/) - The suite of fast incremental algorithms for machine learning. [Apache2]
* [xgboost](https://github.com/dmlc/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, Flink and DataFlow. [Apache2]
## Math