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Andrei Sura's Projects

.vim icon .vim

My .vim dotfiles and configurations.

alasql icon alasql

AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel.

alloy icon alloy

Alloy is an MVC framework for the Appcelerator Titanium SDK

apollo-11 icon apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-sysadmin icon awesome-sysadmin

A curated list of amazingly awesome open source sysadmin resources inspired by Awesome PHP.

bcbb icon bcbb

Incubator for useful bioinformatics code, primarily in Python and R

cayenne icon cayenne

CrossRef Lab's ETL and metadata API

cdm-errata icon cdm-errata

The errata lists the minor errors and typos that have been identified in the PCORnet Common Data Model (CDM) specification.

cdm-guidance icon cdm-guidance

The guidance repository contains materials intended to support implementation efforts by data partners, including suggestions, recommendations, and best practices.

cerebralcortex icon cerebralcortex

Cerebral Cortex is the backend architecture, powered by Apache Spark, that is designed to analyze population-scale mHealth data

climatic icon climatic

A small toolbox of wind data analysis plotting tools

cliner icon cliner

Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.

clinical_quality_language icon clinical_quality_language

Clinical Quality Language is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) domains. This repository contains complementary tooling in support of that specification.

clrs icon clrs

Solutions to "Introduction to Algorithms" by Cormen, Leiserson, Rivest, Stein (CLRS)

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