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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 c0f61e43a757e0ddff16daa1cd07cc23
arch x86_64
build py38hf6b7f80_0
depends libgcc-ng >=7.5.0, libmxnet 1.5.0.*, libstdcxx-ng >=7.5.0, numpy >=1.16.0,<=2.0.0, python >=3.8,<3.9.0a0, requests >=2.20.0,<3
license Apache-2
license_family Apache
md5 c0f61e43a757e0ddff16daa1cd07cc23
name py-mxnet
platform linux
sha1 72befb4cb460e7ab8691191549940f408366ffbf
sha256 4f5bc6c8c62842063cd7de647096298ce862362868d452973e559c2023c1b934
size 920246
subdir linux-64
timestamp 1633682563997
version 1.5.0