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Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. MXNet is also more than a deep learning project. It is also a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.

Uploaded Sun Mar 30 23:36:04 2025
md5 checksum 476d4dd97bd29ef05c08569ac6da15eb
arch x86_64
build mkl_h902f91f_0
depends _mutex_mxnet 0.0.30 mkl, blas 1.0 mkl, intel-openmp >=2019.4,<2020.0a0, libgcc-ng >=7.5.0, libmklml >=2019.0.5, libopencv >=3.4.2,<3.4.3.0a0, libstdcxx-ng >=7.5.0, mkl >=2019.4,<2021.0a0, mkl-dnn >=0.19,<1.0a0, mkl-service >=2,<3.0a0
license Apache-2
license_family Apache
md5 476d4dd97bd29ef05c08569ac6da15eb
name libmxnet
platform linux
sha1 065f0389bb8b7d226ae645c94571904967a7e6b2
sha256 14ca4922c33331ee8b12df66d3d8338100918d0dc97e51591e64295d298c08c8
size 13884903
subdir linux-64
timestamp 1633948736619
version 1.5.0