Search Results for "fuzzy decision tree"
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Showing 70 open source projects for "fuzzy decision tree"
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dtreeviz
Python library for decision tree visualization & model interpretation
A python library for decision tree visualization and model interpretation. Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. -
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BehaviorTree.CPP
C++ behavior tree library for robotics and AI decision systems
BehaviorTree.CPP is a C++ library designed to create, manage, and execute behavior trees, a widely used model for decision-making in robotics and artificial intelligence systems. It provides a flexible and modular framework that allows developers to define complex behaviors as reusable tree structures composed of nodes. BehaviorTree.CPP emphasizes performance and real-time execution, making it particularly suitable for robotics applications where responsiveness is critical. ... -
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LightGBM
Gradient boosting framework based on decision tree algorithms
LightGBM or Light Gradient Boosting Machine is a high-performance, open source gradient boosting framework based on decision tree algorithms. Compared to other boosting frameworks, LightGBM offers several advantages in terms of speed, efficiency and accuracy. Parallel experiments have shown that LightGBM can attain linear speed-up through multiple machines for training in specific settings, all while consuming less memory. LightGBM supports parallel and GPU learning, and can handle large-scale data. ... -
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Beehave
Behavior tree AI for Godot Engine
Beehave is a powerful AI behavior tree framework designed as an addon for the Godot game engine, enabling developers to create sophisticated and dynamic non-player character behaviors in games. It uses a node-based system that integrates directly into the Godot scene tree, allowing developers to visually design and organize complex AI logic in a structured and intuitive way. -
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FLEXible
Federated Learning (FL) experiment simulation in Python
FLEXible (Federated Learning Experiments) is a Python framework offering tools to simulate FL with deep learning. 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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jstree
jquery tree plugin
jsTree is jquery plugin, that provides interactive trees. It is absolutely free, open-source and distributed under the MIT license. jsTree is easily extendable, themable and configurable, it supports HTML & JSON data sources and AJAX loading. jsTree functions properly in either box-model (content-box or border-box), can be loaded as an AMD module, and has a built in mobile theme for responsive design, that can easily be customized. It uses jQuery's event system, so binding callbacks on... -
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The AI Scientist-v2
Workshop-Level Automated Scientific Discovery via Agentic Tree Search
...It introduces a generalized framework that removes reliance on predefined templates, enabling broader applicability across multiple machine learning domains and more open-ended exploration of research problems. A key innovation is its progressive agentic tree search, which systematically explores experimental paths and is coordinated by an experiment manager agent that guides decision-making. The system also integrates automated review mechanisms, including vision-language feedback loops, to iteratively refine the quality of generated research outputs. -
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AstroNvim
AstroNvim is an aesthetic and feature-rich neovim config
AstroNvim is an aesthetic and feature-rich neovim config that is extensible and easy to use with a great set of plugins. AstroNvim is provided as a plugin that can be installed with the lazy.nvim plugin manager and then used to import all of the plugin configurations that AstroNvim provides. To quickly get started it is recommended to start with the official AstroNvim Template which provides a great starting point for a new AstroNvim based configuration. We found other Neovim configurations... -
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goquery
A little like that j-thing, only in Go
goquery brings a syntax and a set of features similar to jQuery to the Go language. It is based on Go's net/HTML package and the CSS Selector library Cascadia. Since the net/html parser returns nodes, and not a full-featured DOM tree, jQuery's stateful manipulation functions (like height(), css(), and detach()) have been left off. Also, because the net/HTML parser requires UTF-8 encoding, so does goquery: it is the caller's responsibility to ensure that the source document provides UTF-8 encoded HTML. See the wiki for various options to do this. Syntax-wise, it is as close as possible to jQuery, with the same function names when possible, and that warm and fuzzy chainable interface. jQuery being the ultra-popular library that it is, I felt that writing a similar HTML-manipulating library was better to follow its API than to start anew (in the same spirit as Go's fmt package), even though some of its methods are less than intuitive (looking at you, index()...). -
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Datalog Educational System
Deductive Database with Datalog, SQL, RA, TRC, DRC
The Datalog Educational System (DES) is a deductive database with Datalog, SQL, Relational Algebra, Tuple Relational Calculus and Domain Relational Calculus as query languages developed mainly for education. It can be used from most common Prolog interpreters over any supported OS and from portable executables (Windows, Linux and MacOS). -
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treeminder
a free mind mapping tool, to especially assist decision making
I've been trying to develop an idea of a project, but the wide range of possibilities with all their outcomes, cons and pros and whatnot got my mind overloaded. There was no way I could keep or process that much information with my bare mind. So, I've checked the mind mapping tools available in the market, both free and commercial ones, yet they were either clunky or overkilling for my needs. Thus, I've made my own thing, and decided to share it with everyone who might find it useful for... -
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GeoDMA
Geographic feature extraction and data mining
GeoDMA is a plugin for TerraView software, used for geographical data mining. With a single image, the user can perform segmentation, attributes extraction, normalization and classification. -
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BlueSpice free (Support archive)
Our support forum has moved: community.bluespice.com
This freely available open-source software turns Wikipedia’s popular software engine MediaWiki into a fully-fledged enterprise wiki solution. Companies can continue cherishing MediaWiki’s numerous advantages and automation capabilities; with BlueSpice, they can now work even more comfortably, safely and more effectively. Compared with basic MediaWiki, BlueSpice provides, amongst other, the following enhancements: comfortable and sophisticated rights management capabilities, a visual editor... -
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DecisionTree.jl
Julia implementation of Decision Tree (CART) Random Forest algorithm
Julia implementation of Decision Tree (CART) and Random Forest algorithms. -
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Repo of Tree of Thoughts (ToT)
Implementation of "Tree of Thoughts
Language models are increasingly being deployed for general problem-solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall short in tasks that require exploration, strategic lookahead, or where initial decisions play a pivotal role. To surmount these challenges, we introduce a new framework for language model inference, Tree of Thoughts (ToT), which generalizes over the popular Chain of Thought approach to prompting language models and enables exploration over coherent units of text (thoughts) that serve as intermediate steps toward problem-solving. ... -
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JSON-Diff
Structural diff for JSON files
json-diff is a command-line tool (and library) that computes differences between two JSON documents in a user-friendly manner. It highlights additions, deletions, and modifications in nested JSON structures, showing context so users can see where changes occurred. The output is presented in a readable diff style (text, colorized, or in various output formats) so developers can quickly understand changes between two versions of a JSON file. The tool also supports ignoring order in arrays,... -
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MuZero General
A commented and documented implementation of MuZero
muzero-general is an open-source implementation of the MuZero reinforcement learning algorithm introduced by DeepMind. MuZero is a model-based reinforcement learning method that combines neural networks with Monte Carlo Tree Search to learn decision-making policies without requiring explicit knowledge of the environment’s dynamics. The repository provides a well-documented and commented implementation designed primarily for educational purposes. It allows researchers and developers to train reinforcement learning agents that can learn to play games such as Atari environments or board games. ... -
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Zee
A modern text editor for the terminal written in Rust
Zee is a modern editor for the terminal, in the spirit of Emacs. It is written in Rust and it is somewhat experimental. In the old tradition of text editor demos, here's what it currently looks like editing its own source code. -
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Awesome Decision Tree Papers
A collection of research papers on decision, classification, etc.
A collection of research papers on decision, classification and regression trees with implementations. -
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ModelFox
ModelFox makes it easy to train, deploy, and monitor ML models
...Train a machine learning model by running modelfox train with the path to a CSV file and the name of the column you want to predict. The CLI automatically transforms your data into features, trains a number of linear and gradient boosted decision tree models to predict the target column, and writes the best model to a .modelfox file. If you want more control, you can provide a config file. -
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Toxtree: Toxic Hazard Estimation
Toxicity prediction for chemical compounds
...The latest version includes the following toxicity prediction modules: -Cramer rules (oral toxicity) -Toxicity mode of action via Verhaar scheme -Skin irritation and Eye irritation prediction -Benigni / Bossa rulebase for mutagenicity and carcinogenicity prediction -START biodegradation and persistence prediction -Skin sensitisation reactivity domain -Kroes TTC Decision tree -SMARTCyp - Cytochrome P450-Mediated Drug Metabolism and metabolites prediction -Structure Alerts for the in vivo micronucleus assay in rodents (ISSMIC) -Structural Alerts for Functional Group Identification (ISSFUNC) -Structural alerts associated with covalent protein binding and DNA binding. - Ames mutagenicity Toxtree provides a plugin framework to incorporate different approaches to the estimation. ... -
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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
Machine-Learning is a repository focused on practical machine learning implementations in Python, covering classic algorithms like k-Nearest Neighbors, decision trees, naive Bayes, logistic regression, support vector machines, linear and tree-based regressions, and likely corresponding code examples and documentation. It targets learners or practitioners who want to understand and implement ML algorithms from scratch or via standard libraries, gaining hands-on experience rather than relying solely on black-box frameworks. ... -
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ASCII Art
Real-Time ASCII Art Rendering Library
A header-only, C/C++ library that lets you transform an input image or video frame into printable ASCII characters in real-time using a single decision tree. ASCII Art is a single header, C/C++ library developed by PixLab and based on the work of Nenad Markus that let you transform an input image or video frame into printable ASCII characters at real-time using a single decision tree. Real-time performance is achieved by using pixel intensity comparison inside the internal nodes of the tree. -
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File Icons
Atom file-specific icons for improved visual grepping
File-specific icons in Atom for improved visual grepping. Everything is handled using CSS classes. Use your stylesheet to change or tweak icons. Consult the package stylesheets to see what classes are used. Choose your own shades. Assign icons by file extension. Assign icons to directories. A restart is needed to complete the installation. Reload the window, or restart Atom. As of v2.0, classes are used for displaying icons instead of mixins. If you're a package author, you can integrate... -
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Varied Tree Weka Package
Random Tree-based classifier featuring multiple node tests.
Weka package extension with custom decision tree classifier (based on Random Tree) generating three different tests in its nodes: traditional value test (e.g. x1 < 3.4), relational test (e.g. x1 < x2) and weighted relational test (e.g. x1 < 0.78 * x2). Decision on node level is made based on weighted vote made by each test.
