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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 23:36:05 2025
md5 checksum c736d25f0d1164b87b341344827ea694
arch x86_64
build mkl_hfe83b78_0
depends _mutex_mxnet 0.0.40 mkl, blas 1.0 mkl, intel-openmp >=2019.4,<2020.0a0, libgcc-ng >=7.3.0, libmklml >=2019.0.5, libopencv >=3.4.2,<3.4.3.0a0, libstdcxx-ng >=7.3.0, mkl >=2019.4,<2021.0a0, mkl-dnn >=0.19,<1.0a0, mkl-service >=2,<3.0a0
license Apache-2
license_family Apache
md5 c736d25f0d1164b87b341344827ea694
name libmxnet
platform linux
sha1 b4ee24af29ae493e14b8144fb56aea6f32976fba
sha256 5e2ee2167a918f1223976c4e8e75850638eccba6c659cdb3c82a9adcf7514ca5
size 13954009
subdir linux-64
timestamp 1564767316679
version 1.5.0