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Multi-GPU Framework Comparisons – Ilia Karmanov – Medium
Having previously examined a wide breadth of deep-learning frameworks, it was difficult to go into a lot of depth for each one. In this post I take Tensorflow, PyTorch, MXNet, Keras, and Chainer and…
deep-learning  gpu  performance  keras  pytorch  tensorflow  mxnet 
7 weeks ago by pmigdal
Deep Learning - The Straight Dope
This repo contains an incremental sequence of notebooks designed to teach deep learning, Apache MXNet (incubating), and the gluon interface. Our goal is to leverage the strengths of Jupyter notebooks to present prose, graphics, equations, and code together in one place.
ai  machine-learning  deep  learning  compsci  mxnet  jupyter  programming 
may 2018 by vicchow
MXNet for PyTorch users in 10 minutes – Apache MXNet – Medium
Author: Mu Li, Principal Scientist at Amazon
Translated from: https://zh.mxnet.io/blog/learn-mxnet-for-pytorch-users PyTorch has quickly established itself as one of the most popular deep learning…
mxnet  pytorch 
may 2018 by pmigdal
GitHub - sunilmallya/timeseries: Deep Learning repo for timeseries and sequence data
This repo contains materials for the "Modeling timeseries and sequence data on AWS using Apache MXNet and Gluon" workshop at Applied ML Days 2018. In this workshop we learn how to model generic sequence data and timeseries data to do sequence prediction, forecasting future timeseries, anomaly detection to name a few. We will use Apache MXNet a scalable deep learning framework to train our neural networks. Once trained we will explore various scalable deployment options on AWS for both real-time and batch inference.
mxnet  timeseries 
may 2018 by griddell
incubator-mxnet/cnn.md at master · apache/incubator-mxnet · GitHub
This tutorial is based of Yoon Kim's paper on using convolutional neural networks for sentence sentiment classification. The tutorial has been tested on MXNet 1.0 running under Python 2.7 and Python 3.6.

For this tutorial, we will train a convolutional deep network model on movie review sentences from Rotten Tomatoes labeled with their sentiment. The result will be a model that can classify a sentence based on its sentiment (with 1 being a purely positive sentiment, 0 being a purely negative sentiment and 0.5 being neutral).
mxnet  nlp  tutorial 
may 2018 by griddell
dmlc/gluon-nlp: NLP made easy
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
ai  jupyter  nlp  python  mxnet 
april 2018 by tranqy

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