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  1. AI - C3.ai, Inc.

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  3. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    OpenAI Codex. OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [1]

  4. 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: No Yes: Yes: Yes: Yes: Yes With Parallel Computing Toolbox: Yes Microsoft Cognitive Toolkit (CNTK)

  5. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    The following code, excerpted from the function magic.m, creates a magic square M for odd values of n (MATLAB function meshgrid is used here to generate square matrices I and J containing ): [J,I] = meshgrid(1:n); A = mod(I + J - (n + 3) / 2, n); B = mod(I + 2 * J - 2, n); M = n * A + B + 1;

  6. Generator matrix - Wikipedia

    en.wikipedia.org/wiki/Generator_matrix

    In coding theory, a generator matrix is a matrix whose rows form a basis for a linear code. The codewords are all of the linear combinations of the rows of this matrix, that is, the linear code is the row space of its generator matrix.

  7. Line detection - Wikipedia

    en.wikipedia.org/wiki/Line_detection

    Code example. The code was used to detect only the vertical lines in an image using Matlab and the result is below. The original image is the one on the top and the result is below it. As can be seen on the picture on the right, only the vertical lines were detected Original Image line detection

  8. Linear congruential generator - Wikipedia

    en.wikipedia.org/wiki/Linear_congruential_generator

    Python code. The following is an implementation of an LCG in Python, in the form of a generator : from collections.abc import Generator def lcg(modulus: int, a: int, c: int, seed: int) -> Generator[int, None, None]: """Linear congruential generator.""" while True: seed = (a * seed + c) % modulus yield seed.

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