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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 Mon Mar 31 01:01:41 2025
md5 checksum 78cd70c9374992d3fcc706cd4a51900a
arch x86_64
build py310h72e8b00_0
depends libgcc-ng >=9.3.0, libmxnet 1.5.0.*, libstdcxx-ng >=9.3.0, numpy >=1.16.0,<=2.0.0, python >=3.10,<3.11.0a0, requests >=2.20.0,<3
license Apache-2
license_family Apache
md5 78cd70c9374992d3fcc706cd4a51900a
name py-mxnet
platform linux
sha1 7f7b513642f81340ff689a3c519b364d7861e9fc
sha256 657a2bb21e0ed081e8fe454dc41fcd456b7833e4d0b1a4686e0a096cd19faa39
size 1244360
subdir linux-64
timestamp 1640822283950
version 1.5.0