Pinned Repositories
akka-streams-example
bashstyle
Let's do Bash right!
cascading.json
Some JSON utility classes for Cascading.
chill
Scala extensions for the Kryo serialization library
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
data-validation
Library for exploring and validating machine learning data
emr-bootstrap-actions
This repository hold the Amazon Elastic MapReduce sample bootstrap actions
every-programmer-should-know
A collection of (mostly) technical things every software developer should know
Gabbler
a Reactive Chat App (http://hseeberger.github.io/blog/2013/07/08/gabbler-part1/)
gcp-blueprints
Blueprints for Deploying Kubeflow on Google Cloud Platform and Anthos
daikeshi's Repositories
daikeshi/akka-streams-example
daikeshi/bashstyle
Let's do Bash right!
daikeshi/chill
Scala extensions for the Kryo serialization library
daikeshi/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
daikeshi/data-validation
Library for exploring and validating machine learning data
daikeshi/emr-bootstrap-actions
This repository hold the Amazon Elastic MapReduce sample bootstrap actions
daikeshi/every-programmer-should-know
A collection of (mostly) technical things every software developer should know
daikeshi/gcp-blueprints
Blueprints for Deploying Kubeflow on Google Cloud Platform and Anthos
daikeshi/going-to-production
A reference checklist for topics which should be covered before going to production.
daikeshi/hello-world
hello world kustomize deployment
daikeshi/keshi-dev
dev config setup
daikeshi/keshi-notebooks
Keshi's notebooks
daikeshi/kubeflow
Machine Learning Toolkit for Kubernetes
daikeshi/kuberay
A toolkit to run Ray applications on Kubernetes
daikeshi/luigi
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
daikeshi/metadata
Repository for assets related to Metadata.
daikeshi/ml-metadata
For recording and retrieving metadata associated with ML developer and data scientist workflows.
daikeshi/model-analysis
Model analysis tools for TensorFlow
daikeshi/papers-we-love
Papers from the computer science community to read and discuss.
daikeshi/pipelines
Machine Learning Pipelines for Kubeflow
daikeshi/prelude
Prelude is an enhanced Emacs 24 configuration that should make your experience with Emacs both more pleasant and more powerful.
daikeshi/python-notebook
daikeshi/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
daikeshi/scalding-project-template
A scalding job template
daikeshi/scio
A Scala API for Apache Beam and Google Cloud Dataflow.
daikeshi/spark-jobserver
REST job server for Spark
daikeshi/sys-config
daikeshi/tf-magnolia
daikeshi/tfx
TFX is an end-to-end platform for deploying production ML pipelines
daikeshi/weekly
a weekly todo list for family