Search Results for "data structures" - Page 3
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Showing 456 open source projects for "data structures"
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PeriodicTable.jl
Periodic Table for Julians
A very simple package for accessing elements in the Periodic Table. PeriodicTable.jl provides a Julia interface to a small database of element properties for all of the elements in the periodic table. In particular PeriodicTable exports a global variable called elements, which is a collection of Element data structures. -
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rich
Rich is a Python library for rich text and beautiful formatting
..., you can import the rich print method, which has the same signature as the builtin Python function. Rich can be installed in the Python REPL, so that any data structures will be pretty printed and highlighted. As you might expect, this will print "Hello World!" to the terminal. Note that unlike the builtin print function, Rich will word-wrap your text to fit within the terminal width. -
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed... -
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gdbgui
Browser-based frontend to gdb (gnu debugger)
Browser-based frontend to gdb (gnu debugger). Add breakpoints, view the stack, visualize data structures, and more in C, C++, Go, Rust, and Fortran. Run gdbgui from the terminal and a new tab will open in your browser. gdbgui is a browser-based frontend to gdb, the gnu debugger. You can add breakpoints, view stack traces, and more in C, C++, Go, and Rust! It's perfect for beginners and experts. Simply run gdbgui from the terminal to start the gdbgui server, and a new tab will open in your... -
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asami
A flexible graph store, written in Clojure
Asami is now being developed in this repository, as it is no longer being supported at Cisco. The deployment to Clojars has not changed, as it was always to my personal account. -
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Elementary Algorithms
Book of elementary algorithms and data structures
This book introduces elementary algorithms and data structure. It includes side-by-side comparison of purely functional realization and their imperative counterpart. From 2020/12, I started re-writing this book. The PDF can be downloaded for preview (EN, 中文). The 1st edition in Chinese (中文) was published in 2017. I recently switched my focus to the Mathematics of programming, the new book is also available in (github). To build the book in PDF format from the sources, you need the following... -
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DefiantJS
Provides the ability for you to build smart templates applications
Do you need to query large JSON structures? Do you end up coding loops to parse the JSON and identify the data that matches your query? Defiant offers a better way. Defiant extends the global JSON object with a "search" method that enables lightning-fast searches using XPath expressions. Try out the XPath Evaluator to get the idea. DefiantJS provides the ability for you to build smart templates applicable on JSON structures, based upon proven & standardized technologies such as XSLT and XPath... -
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Catlab.jl
A framework for applied category theory in the Julia language
Catlab.jl is a framework for applied and computational category theory, written in the Julia language. Catlab provides a programming library and interactive interface for applications of category theory to scientific and engineering fields. It emphasizes monoidal categories due to their wide applicability but can support any categorical structure that is formalizable as a generalized algebraic theory. First and foremost, Catlab provides data structures, algorithms, and serialization for applied... -
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Agrona
High Performance data structures and utility methods for Java
Agrona provides a library of data structures and utility methods that are a common need when building high-performance applications in Java. Many of these utilities are used in the Aeron efficient reliable UDP unicast, multicast, and IPC message transport and provides high-performance buffer implementations to support the Simple Binary Encoding Message Codec. -
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rosedb
High performance NoSQL database based on bitcask
A high-performance NoSQL database based on bitcask, supports string, list, hash, set, and sorted set. rosedb is a fast, stable, and embedded NoSQL database based on bitcask, that supports a variety of data structures such as string, list, hash, set, and sorted set. Easy to embed into your own Go application. High performance, suitable for both read and write-intensive workloads. Values are not limited by RAM. It is similar to Redis but store values on disk. RoseDB is based on bitcask. -
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Whirlwind
Ridiculously fast, fully asynchronous, sharded hashmap for Rust
Collection of thread-safe, asynchronous data structures. Whirlwind is a lightweight CSS framework focused on performance and simplicity, offering developers a minimal approach to styling web applications. -
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Parsera
Lightweight library for scraping web-sites with LLMs
Scrape data from any website with only a link and column descriptions. Parsera is a tool designed to scrape web content, specifically handling poorly structured or messy websites. -
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tslog
Universal Logger for TypeScript and JavaScript
Powerful, fast, and expressive logging for TypeScript and JavaScript. Every incoming log message runs through a number of steps before being displayed or handed over to a "transport". Every step can be overwritten and adjusted. By default, tslog is optimized for the best developer experience and includes some default settings that may impact performance in production environments. -
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JLD2
HDF5-compatible file format in pure Julia
JLD2 saves and loads Julia data structures in a format comprising a subset of HDF5, without any dependency on the HDF5 C library. JLD2 is able to read most HDF5 files created by other HDF5 implementations supporting HDF5 File Format Specification Version 3.0 (i.e. libhdf5 1.10 or later) and similarly, those should be able to read the files that JLD2 produces. JLD2 provides read-only support for files created with the JLD package. The save and load functions, provided by FileIO, provide... -
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JuliaSyntax
A Julia frontend, written in Julia
A Julia compiler frontend, written in Julia. Read the documentation for more information. JuliaSyntax.jl is used as the new default Julia parser in Julia 1.10. It's highly compatible with Julia's older femtoliter-based parser - It parses all of Base, the standard libraries and the General registry. Some minor differences remain where we've decided to fix bugs or strange behaviors in the reference parser. The AST and tree data structures are usable but their APIs will evolve as we try out... -
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PyCall.jl
Package to call Python functions from the Julia language
Package to call Python functions from the Julia language. This package provides the ability to directly call and fully interoperate with Python from the Julia language. You can import arbitrary Python modules from Julia, call Python functions (with automatic conversion of types between Julia and Python), define Python classes from Julia methods, and share large data structures between Julia and Python without copying them. -
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DataScript
Immutable database and Datalog query engine for Clojure, ClojureScript
An immutable in-memory database and Datalog query engine in Clojure and ClojureScript. DataScript is meant to run inside the browser. It is cheap to create, quick to query and ephemeral. You create a database on page load, put some data in it, track changes, do queries and forget about it when the user closes the page. DataScript databases are immutable and based on persistent data structures. In fact, they’re more like data structures than databases (think Hashmap). Unlike querying a real SQL... -
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AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
AutoMLPipeline (AMLP) is a package that makes it trivial to create complex ML pipeline structures using simple expressions. It leverages on the built-in macro programming features of Julia to symbolically process, and manipulate pipeline expressions and makes it easy to discover optimal structures for machine learning regression and classification. To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for ica... -
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Fantasy Land Specification
Specification for interoperability of JavaScript algebraic structures
This project specifies interoperability of common algebraic structures like Setoid, Ord, Semigroupoid, Category, Semigroup, Monoid, Group, Filterable, Functor, Contravariant, Apply, Applicative, etc. An algebra is a set of values, a set of operators that it is closed under and some laws it must obey. Each Fantasy Land algebra is a separate specification. An algebra may have dependencies on other algebras which must be implemented. "Value" is any JavaScript value, including any which have... -
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Rust Monero Library
The Rust Monero library published on crates.io
Library with support for de/serialization on block data structures and key/address generation and scanning related to Monero cryptocurrency. -
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Laravel Vue Pagination
A Vue.js pagination component for Laravel paginators
Laravel Vue Pagination is a Vue.js pagination component for Laravel. It provides out-of-the-box components for Bootstrap 4/5 and Tailwind CSS. -
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Tequila
A High-Level Abstraction Framework for Quantum Algorithms
Tequila is an abstraction framework for (variational) quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state-of-the-art simulators as well as on real quantum devices. -
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Apache Avro
Apache Avro is a data serialization system
Apache Avro™ is a data serialization system. Simple integration with dynamic languages. Code generation is not required to read or write data files nor to use or implement RPC protocols. Code generation is an optional optimization, is only worth implementing for statically typed languages. Avro relies on schemas. When Avro data is read, the schema used when writing it is always present. This permits each datum to be written with no per-value overheads, making serialization both fast and small... -
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NutsDB
A simple, fast, embeddable, persistent key/value store written in Go
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. It supports fully serializable transactions and many data structures such as list、set、sorted set. All operations happen inside a Tx. Tx represents a transaction, which can be read-only or read-write. Read-only transactions can read values for a given bucket and a given key or iterate over a set of key-value pairs. Read... -
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json-rules-engine
A rules engine expressed in JSON
A rules engine expressed in JSON. json-rules-engine is a powerful, lightweight rules engine. Rules are composed of simple json structures, making them human-readable and easy to persist.