Search Results for "trees"
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Showing 394 open source projects for "trees"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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dtreeviz
Python library for decision tree visualization & model interpretation
...Please see How to visualize decision trees for deeper discussion of our decision tree visualization library and the visual design decisions we made. -
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OSTree
Operating system and container binary deployment and upgrades
OSTree is a tool that combines a Git-like model for managing bootable, immutable filesystem trees with a deployment mechanism for Linux-based operating systems. It enables atomic upgrades and rollbacks, ensuring system integrity and consistency. OSTree is particularly useful for scenarios where reliable and reproducible system deployments are critical. -
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remarklint
plugins to check (lint) markdown code style
remark plugins to check (lint) markdown code style. remark is an ecosystem of plugins that work with markdown as structured data, specifically ASTs (abstract syntax trees). ASTs make it easy for programs to deal with markdown. We call those programs plugins. Plugins inspect and change trees. You can use the many existing plugins or you can make your own. -
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CatBoost
High-performance library for gradient boosting on decision trees
CatBoost is a fast, high-performance open source library for gradient boosting on decision trees. It is a machine learning method with plenty of applications, including ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. CatBoost offers superior performance over other GBDT libraries on many datasets, and has several superb features. It has best in class prediction speed, supports both numerical and categorical features, has a fast and scalable GPU version, and readily comes with visualization tools. ... -
Top Corporate LMS for Training | Best Learning Management SoftwareAxis LMS enables you to deliver online and virtual learning and training through a scalable, easy-to-use LMS that is designed to enhance your training, automate your workflows, engage your learners and keep you compliant.
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DSA Bootcamp Java
This repository consists of the code samples, assignments, and notes
...The repository is organized into multiple modules that start with Java basics and gradually progress toward arrays, recursion, sorting, searching, linked lists, stacks, queues, trees, graphs, dynamic programming, and other advanced topics. It is a popular resource for students preparing for coding interviews, competitive programming, or computer science fundamentals. -
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FLEXible
Federated Learning (FL) experiment simulation in Python
...It includes built-in datasets (MNIST, CIFAR10, Shakespeare), supports TensorFlow/PyTorch, and has extensions for adversarial attacks, anomaly detection, and decision trees. -
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EvoTrees.jl
Boosted trees in Julia
A Julia implementation of boosted trees with CPU and GPU support. Efficient histogram-based algorithms with support for multiple loss functions, including various regressions, multi-classification and Gaussian max likelihood. -
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ANTLR
Parser generator to read, process, or translate structured text
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build and walk parse trees. It’s widely used in academia and industry to build all sorts of languages, tools, and frameworks. Twitter search uses ANTLR for query parsing, with over 2 billion queries a day. The languages for Hive and Pig, the data warehouse and analysis systems for Hadoop, both use ANTLR. Lex Machina uses ANTLR for information extraction from legal texts. ... -
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Objeck
Objeck is a modern object-oriented programming language
General-purpose object-oriented and functional programming language. Designed to be intuitive, lightweight, cross-platform and fast. The Objeck compiler produces two types of binaries. The first is an executable and the second type is a library. Libraries can be linked into executables by passing the names of libraries to the compiler. Objeck can be built for a variety of targets. The language is implemented in C++, assembly (i.e., generated machine code) and assisted by code generators for... -
Lightspeed golf course management softwareFrom tee sheet management, point of sale and payment processing to marketing, automation, reporting and more—Lightspeed is built for the pro shop, restaurant, back office, beverage cart and beyond.
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Graphtage
A semantic diff utility and library for tree-like files such as JSON
Graphtage is a command-line utility and underlying library for semantically comparing and merging tree-like structures, such as JSON, XML, HTML, YAML, plist, and CSS files. Its name is a portmanteau of “graph” and “graftage”, the latter being the horticultural practice of joining two trees together such that they grow as one. Graphtage performs an analysis on an intermediate representation of the trees that is divorced from the filetypes of the input files. This means, for example, that you can diff a JSON file against a YAML file. Also, the output format can be different from the input format(s). By default, Graphtage will format the output diff in the same file format as the first input file. ... -
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Swift Algorithm Club
Algorithms and data structures in Swift, with explanations
...Its purpose is not primarily to be a utility library, but rather to teach the how and why behind algorithms—readers can study implementations, complexity, and design choices in a Swift context. The repository includes common classic algorithms (sorting, searching, trees, graphs, dynamic programming, etc.) and structures (queues, heaps, tries, balanced trees) along with writeups explaining them. Because it's in Swift, the code is idiomatic and leverages Swift language features and standard patterns, which helps learners see how algorithmic ideas map into modern code. Many of the algorithms come with test harnesses so you can run them and experiment. -
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MatlabMachine
Machine learning algorithms
Matlab-Machine is a comprehensive collection of machine learning algorithms implemented in MATLAB. It includes both basic and advanced techniques for classification, regression, clustering, and dimensionality reduction. Designed for educational and research purposes, the repository provides clear implementations that help users understand core ML concepts. -
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Trillian
A transparent, highly scalable and cryptographically verifiable data
trillian is a transparent, cryptographically verifiable data store built on Merkle trees that provides append-only logs and verifiable key–value maps. It separates a storage layer from a verifiability layer, letting applications prove inclusion, consistency, and non-existence through compact cryptographic proofs. The system is designed for horizontal scale with gRPC APIs, enabling multiple frontends and sequencers to operate over a shared backend. -
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Difftastic
A structural diff that understands syntax
Difftastic is a structural diff tool written in Rust that parses source files using syntax trees (via tree‑sitter) and produces human‑readable diffs at the expression level. It works across 30+ languages and emphasizes readability by aligning code structure rather than lines. Ideal for code review and understanding semantic changes. -
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Go Jsonnet
This an implementation of Jsonnet in pure Go
...The repository ships both an embeddable VM for Go programs and a command-line interpreter, making it easy to integrate templating into build systems, CLIs, and services. Import paths and custom resolvers let you structure large configuration trees across directories or remote sources, while top-level arguments and external variables parameterize builds per environment. Native functions can be registered from Go to expose domain-specific helpers without forking the language. Tooling such as a formatter and linter-friendly errors encourages clean, consistent templates that scale across teams. -
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Pyparsing
Python library for creating PEG parsers
pyparsing is a Python library that facilitates the creation of parsers using a parsing expression grammar (PEG) approach. It allows developers to construct grammars directly in Python code, offering an alternative to traditional parsing methods. -
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Orange Data Mining
Orange: Interactive data analysis
...Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. ... -
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rehype
HTML processor powered by plugins part of the @unifiedjs collective
...You can use rehype on the server, the client, CLIs, deno, etc. rehype is an ecosystem of plugins that work with HTML as structured data, specifically ASTs (abstract syntax trees). ASTs make it easy for programs to deal with HTML. We call those programs plugins. Plugins inspect and change trees. You can use the many existing plugins or you can make your own. You can use rehype for many different things. unified is the core project that transforms content with ASTs. rehype adds support for HTML to unified. hast is the HTML AST that rehype uses. ... -
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River ML
Online machine learning in Python
River is a Python library for online machine learning. It aims to be the most user-friendly library for doing machine learning on streaming data. River is the result of a merger between creme and scikit-multiflow. -
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PHP-SVG-Lib
SVG file parsing / rendering library
php-svg-lib is a PHP library designed for parsing and rendering SVG files. It provides functionalities to rasterize SVG content to various surfaces, such as images or PDFs, and is utilized by projects like Dompdf for SVG rendering within PDF documents. -
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Gherkin
A parser and compiler for the Gherkin language
Gherkin is a domain-specific language used in behavior-driven development (BDD) to describe software behaviors in a human-readable format. It allows stakeholders to write test cases in plain language, bridging the gap between technical and non-technical team members. -
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VS Code Java Dependency
Manage Java projects in Visual Studio Code
This lightweight VS Code extension enhances the Java Project Explorer by displaying dependency trees and JARs. It complements Red Hat’s Java Language Support and simplifies dependency management. -
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Meriyah
A 100% compliant, self-hosted javascript parser
Meriyah is a high-performance, fully compliant JavaScript parser that generates ESTree-compatible Abstract Syntax Trees (ASTs). Designed for speed and stability, it serves as an alternative to parsers like Acorn and Esprima. -
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SeaQuery
A dynamic SQL query builder for MySQL, Postgres and SQLite
SeaQuery is a query builder to help you construct dynamic SQL queries in Rust. You can construct expressions, queries and schema as abstract syntax trees using an ergonomic API. We support MySQL, Postgres and SQLite behind a common interface that aligns their behavior where appropriate. -
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EzXML.jl
XML/HTML handling tools for primates
EzXML.jl is a package to handle XML/HTML documents for primates. This package depends on libxml2, which will be automatically installed as an artifact via XML2_jll.jl if you use Julia 1.3 or later. Currently, Windows, Linux, macOS, and FreeBSD are now supported.
