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Package Usage: conda: py-mxnet
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.
6 versions
Latest release: over 1 year ago
1 dependent package
View more package details: https://packages.ecosyste.ms/registries/anaconda.org/packages/py-mxnet
View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/apache%2Fmxnet
Dependent Repos 1
chapter09/sgd-lambda
SGD on MXNet Lambda- 1.0.0 environment.yml
Size: 47.5 MB - Last synced: about 1 year ago - Pushed: almost 6 years ago
Reversev/Deeplearning_pytorch
Deep learning with pytorch library- 1.2.1 mofan_python/environment.yaml
Size: 5.79 MB - Last synced: about 1 month ago - Pushed: about 1 month ago