Showing 2 open source projects for "numerical integration"

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    TensorZero

    TensorZero

    TensorZero is an open-source stack for industrial-grade LLM apps

    tensorzero is a lightweight C++ library designed for tensor operations and numerical computing. It offers a minimal and readable implementation of core tensor functionality, making it ideal for educational purposes, lightweight applications, or those wanting to understand how tensor libraries work under the hood. With no external dependencies, tensorzero is easy to integrate into C++ projects needing basic multi-dimensional array support.
    Downloads: 1 This Week
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  • 2
    CubeCL

    CubeCL

    Multi-platform high-performance compute language extension for Rust

    CubeCL is a low-level compute language and compiler framework designed to simplify and optimize GPU programming for high-performance workloads, particularly in machine learning and numerical computing. It provides an abstraction layer that allows developers to write portable, hardware-efficient compute kernels without directly dealing with complex GPU APIs such as CUDA or OpenCL. CubeCL focuses on delivering predictable performance and composability by exposing explicit control over memory...
    Downloads: 0 This Week
    Last Update:
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