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DBEst, AQP engine
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
The source code uses console arguments in order to translate from one language to another using dictionaries found at a specific directory. Moreover, it autodetects the first language and translates expressions
Introduction: Translating from a language into another. The code will use a series of dictionaries files, found at the directory "translator/dictionare" Those files are named as it follows: rom-eng.txt for a romanian to english dictionary fr-eng.txt for a french to english dictionary Files contain a pair of words on each line Example : rom-eng.txt: casa home mar apple How to use: The executable generated after compiling the source code will ve executed using a series of parameters as it follows: >traducator.exe -in file_in.txt -out file_out.txt -limba_in rom limba_out eng Meaning: in -> input text out -> output text limba_in ->language from which to translate to limba_out -> language translated to Implementation rules: The application will produce a file based on the input file. The output file will be the translated text. Each word will be found in the dictionary and replaced with his pair word Addons: a) Autodetection of the language : there will be no -limba_in specified. For determening the language, 70% of the words from the input file must be found in the dictionary, otherwise the output will be "Limba necunoscuta!" ( Unknown language ) b) Translating using a third dictionary c) Translating idiomatics: special dictionary "expr-rom-eng.txt"
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Database Benchmarking Framework
The automatic DBMS configuration tool
This is the repository for QReg, the query-centric regression
SirixDB facilitates effective and efficient storing and querying of your temporal data. Every commit stores a space-efficient snapshot. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach called sliding snapshot.
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.