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  2. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    MATLAB + Deep Learning Toolbox (formally Neural Network Toolbox) MathWorks: 1992 Proprietary: No Linux, macOS, Windows: C, C++, Java, MATLAB: MATLAB: No No Train with Parallel Computing Toolbox and generate CUDA code with GPU Coder [23] No Yes [24] Yes [25] [26] Yes [25] Yes [25] Yes With Parallel Computing Toolbox [27] Yes Microsoft Cognitive ...

  3. Spark NLP - Wikipedia

    en.wikipedia.org/wiki/Spark_NLP

    Spark NLP for Healthcare is a commercial extension of Spark NLP for clinical and biomedical text mining. [10] It provides healthcare-specific annotators, pipelines, models, and embeddings for clinical entity recognition, clinical entity linking, entity normalization, assertion status detection, de-identification, relation extraction, and spell checking and correction.

  4. Backstabbing for Beginners - Wikipedia

    en.wikipedia.org/wiki/Backstabbing_for_Beginners

    Backstabbing for Beginners is a 2018 political thriller film directed and co-written by Per Fly, and based on the memoirs of Michael Soussan. [2] It follows the real life corruption scandal in the UN Oil-for-Food Programme , and stars Theo James and Ben Kingsley .

  5. LAPACK - Wikipedia

    en.wikipedia.org/wiki/LAPACK

    LAPACK ("Linear Algebra Package") is a standard software library for numerical linear algebra.It provides routines for solving systems of linear equations and linear least squares, eigenvalue problems, and singular value decomposition.

  6. APL (programming language) - Wikipedia

    en.wikipedia.org/wiki/APL_(programming_language)

    Build a vector the same length as R with 1 in each place where the corresponding number in R is in the outer product matrix (∈, set inclusion or element of or Epsilon operator), i.e., 0 0 1 0 1 Logically negate ( not ) values in the vector (change zeros to ones and ones to zeros) ( ∼ , logical not or Tilde operator), i.e., 1 1 0 1 0

  7. PARI/GP - Wikipedia

    en.wikipedia.org/wiki/PARI/GP

    The PARI/GP system is a package that is capable of doing formal computations on recursive types at high speed; it is primarily aimed at number theorists. Its three main strengths are its speed, the possibility of directly using data types that are familiar to mathematicians , and its extensive algebraic number theory module.