Search results
Results from the WOW.Com Content Network
Intel Cluster Checker – Prepackaged checks to diagnose cluster health, functionality and performance. They are accessible via API to embed capabilities into applications. Intel Distribution for Python – a Python distribution using Intel Performance libraries to boost performance of NumPy, SciPy, scikit-learn, Pandas (software) and other ...
Soon after, the Python and R packages were built, and XGBoost now has package implementations for Java, Scala, Julia, Perl, and other languages. This brought the library to more developers and contributed to its popularity among the Kaggle community, where it has been used for a large number of competitions. [11]
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft.
Performance: While IronPython provides good performance for many applications, it might not be as fast as CPython for some tasks, particularly those that rely heavily on Python's native libraries. Compatibility: IronPython is compatible with Python 2.x, but it does not support Python 3.x features. This means that some newer Python libraries or ...
The language designers aspire for Chapel to bridge the gap between current high-performance computing (HPC) programming practitioners, who they describe as Fortran, C or C++ users writing procedural code using technologies like OpenMP and MPI on one side, and newly graduating computer programmers who tend to prefer Java, Python or Matlab with ...
Ninja is a build system developed by Evan Martin, [4] a Google employee. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible.
CatBoost [6] is an open-source software library developed by Yandex.It provides a gradient boosting framework which, among other features, attempts to solve for categorical features using a permutation-driven alternative to the classical algorithm. [7]