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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 23:36:37 2025
md5 checksum cd6a3f2bfb5a0806299e5e7dfb8a4323
arch x86_64
build nomklh2cb3ce3_0
depends jemalloc, libgcc-ng >=7.2.0, libopenblas >=0.2.20,<0.2.21.0a0, libstdcxx-ng >=7.2.0, opencv >=3.3.1,<3.3.2.0a0, blas * openblas
license Apache-2
license_family Apache
md5 cd6a3f2bfb5a0806299e5e7dfb8a4323
name libmxnet
platform linux
sha1 6946f14520215098fa0861c82843db1a18b8d1d7
sha256 16f0e8f9ad799c38a5d4325ab3cfe0cf1e23cea96e7460a4e2d422855da05ffb
size 18752637
subdir linux-64
timestamp 1514731439768
version 1.0.0