shokout's Stars
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
apache/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
optuna/optuna
A hyperparameter optimization framework
chainer/chainer
A flexible framework of neural networks for deep learning
aws-samples/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
aws-samples/amazon-personalize-samples
Notebooks and examples on how to onboard and use various features of Amazon Personalize
neo-ai/neo-ai-dlr
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
aws-samples/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
aws-samples/amazon-sagemaker-notebook-instance-lifecycle-config-samples
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
amazon-braket/amazon-braket-sdk-python
A Python SDK for interacting with quantum devices on Amazon Braket
japan-medical-ai/medical-ai-course-materials
メディカルAIコース オンライン講義資料
aws-samples/sagemaker-horovod-distributed-training
Distributed training with SageMaker's script mode using Horovod distributed deep learning framework
d2l-ai/d2l-ja
Japanese translation of Dive into Deep Learning
aws-samples/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.
Qulacs-Osaka/qulacs-osaka
Development branch of qulacs at Osaka Univ
comet-ml/comet-sagemaker
Example demonstrating how to use Comet with Amazon Sagemaker
pilhokim/ai-ml-workshop