Masaki Samejima's repositories
sagemaker-notebooks
Amazon SageMaker examples with Japanese comments: SageMakerのサンプルです
LSQRwithEigen
C++ Implementation of LSQR with Eigen
Blendenpik
Python implementation of Blendenpik, a solver of an over-determined system
mxnet-the-straight-dope-ja
Deep Learning - The Straight Dope - https://gluon.mxnet.io/ の翻訳
GeneralNormApproximation
Fast General Norm Approximation via IRLS
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
amazon-sagemaker-examples-jp
Japanese translation of Amazon SageMaker Examples and other original sample codes, which will be used in Amazon SageMaker hands-on workshops in Japan.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
aws-deepracer-workshops
DeepRacer workshop content
aws-sagemaker-emr-tutorial
Supporting code, Dockerfile, and Jupyter notebook for an end to end tutorial on Amazon SageMaker and EMR.
data_augmentation
A script of basic data augmentation
harusametime.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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
keras-docs-ja
Japanese translation of the Keras documentation
OL-PICEA-g
Preference-Inspired Co-Evolutionary Algorithm using goal vectors with Opposition based Learning strategy
onnx-chainer
Add-on package for ONNX format support in Chainer
rekognition-notebooks
Walkthrough of Amazon Rekognition APIs using Jupyter notebooks as IDE.
sagemaker-containers
This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.
sagemaker-tensorflow-container
This support code is used for making the TensorFlow framework run on Amazon SageMaker.