Pinned Repositories
adobeio-events
Developer documentation for Adobe I/O Events.
adaptTo2018
Build event-driven integrations with AEM using Adobe I/O Events
adobeio-codelabs-alarms
flight_delay_hadoop
HTTPServer
Infection
RSS
rss downloader
s-parkMovieLens100k
this is s spark study project
small_projects
sparkTwitterHashtagStreaming
Yu1986's Repositories
Yu1986/adobeio-events
Developer documentation for Adobe I/O Events.
Yu1986/adobeio-runtime
Developer documentation for Adobe I/O Runtime.
Yu1986/aio-cli-e2e-tests
Yu1986/aio-cli-plugin-app
Create, Build and Deploy Cloud Native Applications
Yu1986/aio-cli-plugin-ims
Adobe I/O CLI IMS Plugin
Yu1986/aio-cli-plugin-pgb
PhoneGap Build Plugin for the Adobe I/O CLI
Yu1986/aio-e2e-tests
End to end testing for aio-* repos
Yu1986/auto-deploy-action
Yu1986/beringei
Beringei is a high performance, in-memory storage engine for time series data.
Yu1986/caffe
Caffe: a fast open framework for deep learning.
Yu1986/dlaicourse
Notebooks for learning deep learning
Yu1986/faast-path-to-beautiful-apps
Adobe I/O Lab - 2019
Yu1986/faiss
A library for efficient similarity search and clustering of dense vectors.
Yu1986/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
Yu1986/guides
A collection of succinct guides - Public Domain
Yu1986/interview
Everything you need to prepare for your technical interview
Yu1986/Machine-Learning
关于机器学习的内容
Yu1986/mkl-dnn
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
Yu1986/mleap
MLeap: Deploy Spark Pipelines to Production
Yu1986/models
Models and examples built with TensorFlow
Yu1986/myapp
Yu1986/open-development-template
Workflow and documentation templates that help teams formalize their goals, workflow and governance model to encourage participation and field contributions.
Yu1986/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Yu1986/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Yu1986/Rental-Listing-Inquiries
kaggle:Two Sigma Connect: Rental Listing Inquiries--top1
Yu1986/scikit-learn
scikit-learn: machine learning in Python
Yu1986/tensorflow_template_application
TensorFlow template application for deep learning
Yu1986/Tensorflow_tutorial
Chinese version of Tensorflow Tutorial.
Yu1986/theblog
Yu1986/yo
CLI tool for running Yeoman generators