janardhanv Goto Github PK

hadoop_vision

Example code for "Web-Scale Computer Vision using MapReduce for Multimedia Data Mining"

hadooppractive

this is sample github repo for practising hadoop ,hive,pig,spark and lecture notes

hadooptutorial

kmeans

hbase

Secure variant of Apache Hadoop HBase (see 'security' branch)

hbase-1

hbase-2

HBase an open-source implementation of Google’s Bigtable, a massively distributed, scalable, reliable, non-relational database.

hbase-3

hbase-4

Mirror of Apache Hadoop HBase

hbase-mapreduce

map reduce examples on HBaase

hbase-research

HBase数据库源代码学习研究(包括代码注释、文档、用于代码分析的测试用例)

hbase-rhino

Mirror of Apache HBase with Project Rhino patch candidates

hbase-secondaryindex

HBase上在HRegion内维护的二级索引实现

hcs-bootcamp-mvc

Harvard Computer Society bootcamp

helm

The Kubernetes Package Manager

heroku_deployment

Heroku is a container-based cloud Platform as a Service (PaaS). Developers use Heroku to deploy, manage, and scale modern apps. Our platform is elegant, flexible, and easy to use, offering developers the simplest path to getting their apps to market.

hi-labs

hive-extensions-from-think-big-analytics

Reusable code for Hive

hive-json-serde

Revised JSON SerDe Code

hiveswarm

Helpful user defined fuctions / table generating functions for Hive

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hpcdc

Notebooks for Intel's HPC DevCon '17

hyperparameter_tuning_techniques

Hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. Hyperparameters are crucial as they control the overall behavior of a machine learning model. The ultimate goal is to find an optimal combination of hyperparameters that minimizes a predefined loss function to give better results.

hystrix

Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.

ibm-infosphere-streams-hackathon

IBM® InfoSphere® Streams is an advanced computing platform that allows user-developed applications to quickly ingest, analyze, and correlate information as it arrives from thousands of real-time sources.

incubator-storm

Mirror of Apache Storm

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

interview-prepartion-data-science

ipython-notebooks

Some iPython Notebooks I have created for personal learning

itversity-books