Deep-learning-on-EC2
Deep learning on EC2 AWS
https://github.com/floydhub/dl-setup
https://github.com/saiprashanths/dl-setup
http://www.pyimagesearch.com/2014/10/13/deep-learning-amazon-ec2-gpu-python-nolearn/
http://markus.com/install-theano-on-aws/
http://www.joyofdata.de/blog/gpu-powered-deeplearning-with-nvidia-digits/
http://www.joyofdata.de/blog/guide-to-aws-ec2-on-cli/
https://github.com/GemHunt/CoinSorter/blob/master/scripts/AWSCaffeDigetsBuild.md
https://github.com/wendykan/AWSGPU_DeepLearning
https://github.com/deeplearningparis/dl-machine
https://github.com/BVLC/caffe/wiki/Install-Caffe-on-EC2-from-scratch-%28Ubuntu,-CUDA-7,-cuDNN%29
http://www.stat.berkeley.edu/scf/paciorek-gpuWorkshop.html
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using_cluster_computing.html
https://gist.github.com/baraldilorenzo/5cce8087dbae098aa5a6
http://mxnet.readthedocs.org/en/latest/aws.html
https://no2147483647.wordpress.com/2016/01/16/setup-amazon-aws-gpu-instance-with-mxnet/
https://github.com/HazyResearch/CaffeConTroll
Tensorflow
http://eatcodeplay.com/installing-gpu-enabled-tensorflow-with-python-3-4-in-ec2/
Caffe
https://github.com/adilmoujahid/deeplearning-cats-dogs-tutorial/blob/master/aws-ec2-setup.md
Torch
https://jameskoppen.com/setup-torch7-on-aws.html
https://www.metachris.com/2015/11/machine-learning-on-amazon-aws-gpu-instances/
http://automl.chalearn.org/general-gpus-on-aws
Install scripts
https://github.com/Microsoft/deep_learning_tools_for_dsvm
Docker:
https://github.com/dominiek/deep-base
https://github.com/emergingstack/es-dev-stack
https://github.com/saiprashanths/dl-docker
https://github.com/NVIDIA/nvidia-docker/wiki/Deploy-on-Amazon-EC2
https://github.com/BVLC/caffe/tree/master/docker
Posts:
https://www.reddit.com/r/MachineLearning/comments/305me5/slow_gpu_performance_on_amazon_g22xlarge/
Hardware:
http://timdettmers.com/2014/08/14/which-gpu-for-deep-learning/
http://omnine.blogspot.ru/2015/07/caffe-on-nvidia-gtx-980.html
https://devtalk.nvidia.com/default/topic/891115/nvidia-m2090-power-compatibility-question/
http://pjreddie.com/darknet/hardware-guide/
http://graphific.github.io/posts/building-a-deep-learning-dream-machine/
https://github.com/jcjohnson/cnn-benchmarks/blob/master/README.md
cuDNN v3 requires CUDA 7.0
cuDNN v2 and v1 both require CUDA 6.5
All cuDNN versions require compute capability >= 3.0 devices
Multi CPU:
https://github.com/Maratyszcza/NNPACK
Some speed benchmarks:
https://github.com/szilard/benchm-dl
Scaling:
https://github.com/tleyden/elastic-thought
https://github.com/yahoo/CaffeOnSpark
https://github.com/amzn/amazon-dsstne
AWS lambda:
https://github.com/excamera/AWSLambdaFace
https://github.com/aeddi/aws-lambda-python-opencv