Aaron Markham's repositories
aws-deep-learning-amis
This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud
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
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow.
amazon-braket-examples
Example notebooks that show how to apply quantum computing in Amazon Braket.
amazon-braket-sdk-python
A python SDK for interacting with quantum devices via AWS.
amazon-sagemaker-developer-guide
The open source version of the Amazon SageMaker docs
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
deep-learning-models
Deep Learning Models optimized for AWS
deepescape
an adventure series for ML learning
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
docker.github.io
Source repo for Docker's Documentation
flashfoto-php-sdk
PHP SDK for the FlashFoto API
incubator-mxnet-site
Apache MXNet Site
mxnet-model-server
Model Server for Apache MXNet is a tool for serving neural net models for inference
mxnet.io-v2
Static content for mxnet.io-v2
privateGPT
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
sagemaker-debugger
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
sagemaker-example-notebooks-testing-1
A continuous integration (CI) system for 📓 Jupyter notebooks, built using 🧠 Amazon SageMaker.
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
serve-1
Model Serving on PyTorch