AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

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

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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.

Amazon SageMaker Solution for explaining credit decisions.

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

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

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

Docker container for running PyTorch scripts to train and host PyTorch models on SageMaker

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Continuous Integration and other infrastructure code that serves Apache MXNet incubating. This repository is not intended for end-users.

Open Distro for Elasticsearch Security Kibana Plugin

Open Distro for Elasticsearch Security plugin

SSL module for Open Distro for Elasticsearch security plugin (Deprecated as of v 1.0.0)

Opendistro Elasticsearch security plugin and docker image

📊 Kibana analytics and search dashboard for Elasticsearch

Deep Learning Models optimized for AWS

Mirror of Apache Spark

An example of kubernetes scheduler extender

DNS poisoning and attack detection tool