hanman-aws Goto Github PK

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

amazon-sagemaker-architecting-for-ml

Materials for a 3-day instructor led course on applying machine learning

amazon-sagemaker-container-with-fastai

Build a Docker container to build, train and deploy fast.ai based Deep Learning models with Amazon SageMaker

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

amazon-sagemaker-script-mode

Amazon SageMaker Script Mode examples

amazon-sagemaker-workshop

Amazon SageMaker workshop lab guides and materials

aws-glue-samples

AWS Glue code samples

aws-ml-vision-end2end

Content consists of Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens) for common CV use-cases

aws_mlstack_tutorial

Tutorial covering training+deploying MXNet on AWS Sagemaker or AWS EC2 + Lambda/Batch

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chinese-nlp

Topic modeling for Chinese news articles using Chinese NLP techniques

course-v3

The 3rd edition of course.fast.ai

deep-learning-models

Deep Learning Models optimized for AWS

deepspeech.mxnet

A MXNet implementation of Baidu's DeepSpeech architecture

docker-alpine-python-machinelearning

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

dtm-lab

A Dynamic Topic Model lab on Chinese corpus of People's Daily

fastai

The fastai deep learning library, plus lessons and tutorials

general-assembly

gluon-cv

Gluon CV Toolkit

horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

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

kaggle-avazu

2nd place solution for Avazu click-through rate prediction competition

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

mxnet-slides

Slides from MXNet tutorials

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

notebooks

notes

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sagemaker-mxnet-container

This support code is used for making the MXNet framework run on Amazon SageMaker.