apache/incubator-mxnet


Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

https://mxnet.apache.org

License: Apache-2.0

Language: C++

Keywords: artificial-intelligence, deep-learning, deep-neural-networks, distributed-systems, machine-learning, mxnet



Apache MXNet (incubating) for Deep Learning

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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 more than a deep learning project. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.

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What's New

Contents

Features

  • Design notes providing useful insights that can re-used by other DL projects
  • Flexible configuration for arbitrary computation graph
  • Mix and match imperative and symbolic programming to maximize flexibility and efficiency
  • Lightweight, memory efficient and portable to smart devices
  • Scales up to multi GPUs and distributed setting with auto parallelism
  • Support for Python, Scala, C++, Java, Clojure, R, Go, Javascript, Perl, Matlab, and Julia
  • Cloud-friendly and directly compatible with S3, HDFS, and Azure

License

Licensed under an Apache-2.0 license.

Reference Paper

Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, and Zheng Zhang. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. In Neural Information Processing Systems, Workshop on Machine Learning Systems, 2015

History

MXNet emerged from a collaboration by the authors of cxxnet, minerva, and purine2. The project reflects what we have learned from the past projects. MXNet combines aspects of each of these projects to achieve flexibility, speed, and memory efficiency.

Project Statistics

Sourcerank 12
Repository Size 57.3 MB
Stars 17,243
Forks 6,130
Watchers 1,183
Open issues 1,277
Dependencies 174
Contributors 623
Tags 69
Created
Last updated
Last pushed

Top Contributors See all

Tianqi Chen Chiyuan Zhang Eric Junyuan Xie Mu Li Bing Xu Yizhi Liu Valentin Churavy Sheng Zha Haibin Lin Iblis Lin Pedro Larroy Xingjian Shi Hu Shiwen Yuan (Terry) Tang Tianjun Xiao Aaron Markham Yao Wang Kellen Sunderland Naiyan Wang Yutian Li

Packages Referencing this Repo

mxnet-cu75
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-7.5.
Latest release 1.2.1.post1 - Updated - 17.2K stars
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MXNet is an ultra-scalable deep learning framework. This version uses CUDA-8.0 and MKLDNN.
Latest release 1.5.0b20190619 - Updated - 17.2K stars
mxnet-cu75mkl
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Latest release 1.2.1.post1 - Updated - 17.2K stars
mxnet-cu101mkl
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-10.1 and MKLDNN.
Latest release 1.5.0b20190630 - Updated - 17.2K stars
mxnet-horovod
MXNet is an ultra-scalable deep learning framework. This version uses openblas.
Latest release 1.4.0.1 - Updated - 17.2K stars
mxnet-cu100
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-10.0.
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Latest release 1.5.0b20190623 - Updated - 17.2K stars
ml.dmlc.mxnet:mxnet-parent_2.11
MXNet Scala Package
Latest release v0.11.1a - Updated - 17.2K stars
mxnet-cu92
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.2.
Latest release 1.5.0b20190421 - Updated - 17.2K stars
mxnet-cu91
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.1.
Latest release 1.3.1b20180926 - Updated - 17.2K stars
mxnet-jetson-tx2
MXNet Python Package
Latest release 1.3.0 - Updated - 17.2K stars
mxnet-cu90
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.0.
Latest release 1.5.0b20190620 - Updated - 17.2K stars
mxnet-to-coreml
Tool to convert MXNet models into Apple CoreML model format.
Latest release 0.1.3 - Updated - 17.2K stars
mxnet-coreml-converter
Tool to convert MXNet models into Apple CoreML model format.
Latest release 0.1.0a7 - Updated - 17.2K stars
pracheer-test-package
Tool to convert MXNet models into Apple CoreML model format.
Latest release 0.1.0a1 - Published - 17.2K stars
mxnet-cu80-win
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-8.0 and MKL-ML.
Latest release 1.5.0.rc2 - Published - 17.2K stars
mxnet-cu80
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-8.0.
Latest release 1.5.0b20190620 - Updated - 17.2K stars
mxnetstg
MXNet is an ultra-scalable deep learning framework. This version uses openblas.
Latest release 1.5.0b20190329 - Updated - 17.2K stars
mxnetpds
MXNet is an ultra-scalable deep learning framework. This version uses openblas.
Latest release 1.4.0b20190222 - Published - 17.2K stars
mxnet-cu90mkl
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.0 and MKLDNN.
Latest release 1.5.0b20190621 - Updated - 17.2K stars

Recent Tags See all

1.5.0.rc2 June 27, 2019
1.5.0.rc1 June 19, 2019
1.4.1 May 14, 2019
1.4.1.rc0 April 30, 2019
1.4.0 February 14, 2019
1.4.0.rc2 January 25, 2019
1.4.0.rc1 January 21, 2019
1.4.0.rc0 December 19, 2018
1.3.1 November 15, 2018
1.3.1.rc0 November 12, 2018
1.3.0 September 11, 2018
1.3.0.rc0 August 29, 2018
1.3.0rc0 August 29, 2018
1.2.1.rc1 July 09, 2018
1.2.1 July 09, 2018

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