Showing 4 open source projects for "hash function"

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    Tiny CUDA Neural Networks

    Tiny CUDA Neural Networks

    Lightning fast C++/CUDA neural network framework

    This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared memory in its default configuration. It will likely only work on an RTX 3090, an RTX 2080 Ti, or high-end enterprise GPUs. ...
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  • 2
    hashmap

    hashmap

    A Golang lock-free thread-safe HashMap optimized for fastest access

    ...The Get() function contains helper functions that have been inlined manually until the Golang compiler will inline them automatically. It optimizes the slice access by circumventing the Golang size check when reading from the slice.
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  • 3
    JavaScript MD5

    JavaScript MD5

    Compatible with server-side environments like node.js

    ...It allows you to generate MD5 hashes from strings, arrays, ArrayBuffers, and other binary-like data types, making it useful for checksums, fingerprinting, and simple integrity checks on the client or server. The library is exposed as a plain function, so usage is as simple as calling md5(value) and receiving the 32-character hexadecimal hash. It supports multiple packaging formats, including UMD, making it easy to drop into legacy codebases as well as modern bundlers like webpack or Browserify. A comprehensive test suite and demo page are provided to validate behavior across platforms and edge cases.
    Downloads: 2 This Week
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  • 4

    Heap Allocation Monitor Library

    Heap Allocation Monitor Library

    Heap Allocation Monitor Library is a toolset written in C++ that consists of a statically linked monitoring library and a parser, to accommodate the creation (by a monitored executable of choice) of a report indicating which heap memory allocations are yet to be released by the time the monitoring library, linked with that executable, is instructed to do so. The parser tool can then be applied onto the generated file to translate it to a human readable format indicating function names and line numbers in the sources of the monitored application, indicating where the yet to be released allocations took place. See the "doc" folder for usage information. Note: In order to run the unit tests associated with the hash table you must download Catch2 unit test framework from https://github.com/catchorg/Catch2, so that it is located next to the "common", "haml" and "haml_parser" folders.
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