Showing 3 open source projects for "optimization"

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  • 1
    Hasktorch

    Hasktorch

    Tensors and neural networks in Haskell

    Hasktorch is a powerful Haskell library for tensor computation and neural network modeling, built on top of libtorch (the backend of PyTorch). It brings differentiable programming, automatic differentiation, and efficient tensor operations into Haskell’s strongly typed functional paradigm. This project is in active development, so expect changes to the library API as it evolves. We would like to invite new users to join our Hasktorch discord space for questions and discussions....
    Downloads: 1 This Week
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  • 2
    Fay

    Fay

    A proper subset of Haskell that compiles to JavaScript

    Fay is a compiler for a proper subset of Haskell that type-checks using GHC and compiles to JavaScript. It supports pure functional programming, a Fay-specific monad, FFI, optional tail-call optimization, and integration with Cabal packages. GHC-compatible type checking, ensuring correctness. Lazy, pure functional semantics with a distinct Fay monad. Foreign Function Interface (FFI) to integrate native JS code. Compatible with standard Haskell packaging tools like Cabal.
    Downloads: 0 This Week
    Last Update:
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  • 3
    GHC (Glasgow Haskell Compiler)

    GHC (Glasgow Haskell Compiler)

    Mirror of the Glasgow Haskell Compiler

    GHC (Glasgow Haskell Compiler) is the leading open-source compiler and interactive environment for the Haskell programming language, supporting the Haskell 2010 standard plus numerous language extensions. It compiles to native machine code (via LLVM or C), and includes the interactive GHCi REPL. For full information on building GHC, see the GHC Building Guide. Here follows a summary - if you get into trouble, the Building Guide has all the answers. For building library documentation, you'll...
    Downloads: 0 This Week
    Last Update:
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