Mark Cohen (macohen)

macohen

Geek Repo

Company:Amazon Web Services

Location:Ridgewood, NJ

Home Page:https://www.opensearch.org

Twitter:@markcohenn

Github PK Tool:Github PK Tool

Mark Cohen's repositories

aws-athena-query-federation

The Amazon Athena Query Federation SDK allows you to customize Amazon Athena with your own data sources and code.

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trino

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

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luceneserver

A high performance "thin wrapper" HTTP REST server on top of Apache Lucene

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opensearch-learning-to-rank-base

Fork of https://github.com/o19s/elasticsearch-learning-to-rank to work with OpenSearch

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community

OpenSearch Project community standards, practice, process, and governance

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opensearch-py

Python Client for OpenSearch

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OpenSearch

🔎 Open source distributed and RESTful search engine.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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spark

Mirror of Apache Spark

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security

🔐 Secure your cluster with TLS, numerous authentication backends, data masking, audit logging as well as role-based access control on indices, documents, and fields

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project-website

The source to opensearch.org

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documentation-website

The documentation for OpenSearch, OpenSearch Dashboards, and their associated plugins.

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OpenSearch-Dashboards

📊 Open source visualization dashboards for OpenSearch.

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search-benchmark-game

https://github.com/quickwit-oss/search-benchmark-game

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clickstream-analytics-on-aws

Build clickstream analytics on AWS for your mobile and web applications

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project-website-search

Provides the search experience for the OpenSearch documentation website

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.github

Provides templates and resources for other OpenSearch project repositories

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lucene

Apache Lucene open-source search software

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plugin-downloads

simple dumb script to check how many times a zip in a release was downloaded

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neural-search

Plugin that adds dense neural retrieval into the OpenSearch ecosytem

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ml-commons

ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.

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dashboards-search-relevance

initial base files for open source.

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search-processor

Search Request Processor: pipeline for transformation of queries and results inline with a search request.

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hello-ltr

Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch

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vectordb-hello-world

Examples of vector DB indexing and query with Pinecone and OpenSearch.

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content-github-actions-deep-dive-lesson

Lesson repository for Github Actions Deep Dive (1074)

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unleash

Open-source feature management solution built for developers.

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quepid

Not A Search Relevancy Workbench ;-). Improve your Elasticsearch and Solr search quality.

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bond_value_scraper

Given a list of savings bond serial numbers, find the values, maturity dates, etc.

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