Shypd.aiThe largest open index of AI toolsArraymancer is a fast, ergonomic, and portable tensor library in Nim with a deep learning focus. It supports CPU, GPU, and embedded devices via OpenMP, Cuda, and OpenCL backends, making it suitable for scientific computing and machine learning.
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Arraymancer is a powerful n-dimensional tensor (ndarray) library implemented in Nim, designed for high performance and ease of use. It provides a robust foundation for scientific computing, machine learning algorithms, and deep learning applications. The library supports various backends including CPU, Cuda, and OpenCL, and can leverage OpenMP for multithreaded compilation. Key features include basic math operations generalized to tensors, matrix algebra primitives, efficient slicing, broadcasting support, and a variety of reshaping operations. Arraymancer can handle tensors up to 6 dimensions and supports reading/writing .csv, Numpy (.npy), and HDF5 files. While its deep learning components are still evolving, it offers functionalities for neural networks, including fully-connected layers and convolutional networks, making it a versatile tool for developers and data scientists working with Nim.
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