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  • 1
    JAX

    JAX

    Composable transformations of Python+NumPy programs

    With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order. What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and TPUs. Compilation happens under the hood by default, with library calls getting just-in-time compiled and executed. ...
    Downloads: 0 This Week
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  • 2

    Noisy Channel Simulator

    Demonstrate errors in transmission of a file over a noisy channel.

    This program was written to dimonstrate errors in transmission for a presentation on Claude Shannon's Noisy Channel Coding Theorem. It takes an input file, the probability of a bit being flipped, and, if specified, the size of the header of the file. The program was intended to take monochrome bitmap files as input, so that each bit refers to a pixel in the image and thus, it would be easy to see errors in the output file, as some of the pixels would be flipped; however, it will work on any input file.
    Downloads: 0 This Week
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  • 3
    PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
    Downloads: 0 This Week
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  • 4
    MathBench

    MathBench

    A Python IDE optimized for scripting and easy access to documentation.

    ...However, for lack of time, it is not actively developped anymore. Feelf you want to take over this project, I'd be happy to let it evolve in other hands. I might ask a few questions on what you intend to do before giving up all control on it though :)
    Downloads: 2 This Week
    Last Update:
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