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TOPCAT (software) – interactive graphical analysis and manipulation package for astronomers that understands FITS, VOTable and CDF formats. Torch (machine learning) – a deep learning software library written in Lua (programming language) Weka (machine learning) – a suite of machine learning software written at the University of Waikato
XLA (Accelerated Linear Algebra) is an open-source compiler for machine learning developed by the OpenXLA project. [1] XLA is designed to improve the performance of machine learning models by optimizing the computation graphs at a lower level, making it particularly useful for large-scale computations and high-performance machine learning models.
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.
JAX is a machine learning framework for transforming numerical functions. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).
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Statistica originally derived from a set of software packages and add-ons that were initially developed during the mid-1980s by StatSoft.Following the 1986 release of Complete Statistical System (CSS) and the 1988 release of Macintosh Statistical System (MacSS), the first DOS version (trademarked in capitals as STATISTICA) was released in 1991.
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The software was created in 1980 by Dr. Neil W. Polhemus while on the Princeton University School of Engineering and Applied Science faculty as a teaching tool for his statistics students. It was made available to the public in 1982, becoming an early example of data science software designed for use on the PC.