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amazon-sagemaker-developer-guide

The open source version of the Amazon SageMaker docs

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

awsome-distributed-training

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

clmassmod

Cluster weak lensing mass modeling and verification code

community

AWS Controllers for Kubernetes (ACK) is a project enabling you to manage AWS services from Kubernetes

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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

mchoi8739

Config files for my GitHub profile.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rabit

Reliable Allreduce and Broadcast Interface for distributed machine learning

sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

sagemaker-debugger-rulesconfig

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

tutorials

PyTorch tutorials.

workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker