shokout

aws-ml-enablement-workshop

組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ

qulacs-osaka

Development branch of qulacs at Osaka Univ

amazon-personalize-samples

Notebooks and examples on how to onboard and use various features of Amazon Personalize

amazon-sagemaker-notebook-instance-lifecycle-config-samples

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

retail-demo-store

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases

amazon-braket-sdk-python

A Python SDK for interacting with quantum devices on Amazon Braket

d2l-ja

Japanese translation of Dive into Deep Learning

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

neo-ai-dlr

Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.

sagemaker-horovod-distributed-training

Distributed training with SageMaker's script mode using Horovod distributed deep learning framework

medical-ai-course-materials

メディカルAIコース オンライン講義資料

chainer

A flexible framework of neural networks for deep learning

optuna

A hyperparameter optimization framework

comet-sagemaker

Example demonstrating how to use Comet with Amazon Sagemaker

faiss

A library for efficient similarity search and clustering of dense vectors.

headpose-estimator-apache-mxnet

Head Pose estimator using Apache MXNet. HeadPose_ResNet50_Tutorial.ipynb helps you to walk through an entire work flow of developing a CNN model from the scratch including data augmentation, fine-tuning, training, saving check-point model artifacts, validation and inference.

ai-ml-workshop