×

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 23:36:22 2025
md5 checksum bddba3f463635c7ed377d0fdb29d5d84
arch x86_64
build gpu_openblas_h1d4bbbf_1
build_number 1
depends _mutex_mxnet 0.0.10 gpu_openblas, blas 1.0 openblas, cudatoolkit 8.0.*, cudnn >=7.0.5,<=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 bddba3f463635c7ed377d0fdb29d5d84
name libmxnet
platform linux
sha1 525fb9e4ea9c7c17ecacd8fa28fcb0fa4b28562c
sha256 dc4c717c7ebfdc0e3da7d2f58ce71bc7819398be807d643df05061a2f7f14501
size 182135845
subdir linux-64
timestamp 1533388173538
version 1.2.1