Masaki Samejima (harusametime)

harusametime

Geek Repo

Company:Amazon Web Services Japan.

Location:Tokyo

Home Page:http://harusametime.github.io

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Masaki Samejima's repositories

sagemaker-notebooks

Amazon SageMaker examples with Japanese comments: SageMakerのサンプルです

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RUSBoost

Classifier of imbalanced data by boosting with random under sampling

LSQRwithEigen

C++ Implementation of LSQR with Eigen

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Blendenpik

Python implementation of Blendenpik, a solver of an over-determined system

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mxnet-the-straight-dope-ja

Deep Learning - The Straight Dope - https://gluon.mxnet.io/ の翻訳

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GeneralNormApproximation

Fast General Norm Approximation via IRLS

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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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.

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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aws-deepracer-workshops

DeepRacer workshop content

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aws-sagemaker-emr-tutorial

Supporting code, Dockerfile, and Jupyter notebook for an end to end tutorial on Amazon SageMaker and EMR.

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data_augmentation

A script of basic data augmentation

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espnet

End-to-End Speech Processing Toolkit

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fiber

Distributed Computing for AI Made Simple

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harusametime.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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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

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jiwer

Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

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keras-docs-ja

Japanese translation of the Keras documentation

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OL-PICEA-g

Preference-Inspired Co-Evolutionary Algorithm using goal vectors with Opposition based Learning strategy

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onnx-chainer

Add-on package for ONNX format support in Chainer

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rekognition-notebooks

Walkthrough of Amazon Rekognition APIs using Jupyter notebooks as IDE.

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RIF

Robust Incomplete Factorization

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sagemaker-containers

This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.

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sagemaker-tensorflow-container

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

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