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amazon-sagemaker-examples

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

archived-madlib

Open-source library for scalable in-database analytics.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

check_madlib

Tmp repo to check madlib installation at CircleCI

fairscale

PyTorch extensions for high performance and large scale training.

gpdb

Greenplum Database

gporca

A modular query optimizer for big data

incubator-madlib-site

Mirror of Apache MADlib site (Incubating)

madlib

Mirror of Apache MADlib (Incubating)

madlib_testsuite_archived

Testsuite for madlib using the TINC framework

pivotalr

pymadlib

A Python wrapper for MADlib (http://madlib.net) - an open source library for scalable in-database machine learning algorithms

rmadlib

R wrapper for MADlib, the distributed analytics computation package

sagemaker-debugger

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

sagemaker-python-sdk

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

sagemaker-xgboost-container

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

testsuite

Large test suite