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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 23:36:28 2025
md5 checksum d2d52549fd14b7d2ec00c0ac9012084d
arch x86_64
build gpu_openblas_hf1ee61d_1
build_number 1
depends _mutex_mxnet 0.0.10 gpu_openblas, blas 1.0 openblas, cudatoolkit 9.0.*, cudnn >=7.1.2,<=8.0a0, libgcc-ng >=5.4.0, libopenblas >=0.2.20,<0.2.21.0a0, libopencv >=3.4.1,<3.4.2.0a0, libstdcxx-ng >=5.4.0
license Apache-2
license_family Apache
md5 d2d52549fd14b7d2ec00c0ac9012084d
name libmxnet
platform linux
sha1 5ef0d92c331a6e08048f35fba4549bae2dbcc606
sha256 af5d48133fdeae1dd20683c506a1fecdf398fd0e0324fe31dce04bdb82785f32
size 173245913
subdir linux-64
timestamp 1533383695098
version 1.2.1