Search Results for "decision" - Page 9
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Showing 489 open source projects for "decision"
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Nextpy
Self-Modifying Framework from the Future
NextPy is a Python-based framework for building AI-powered automation agents, allowing developers to create intelligent, rule-based workflows. -
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Functionary
Chat language model that can use tools and interpret the results
Functionary is an open-source large language model specifically designed for interpreting and executing structured functions or external tools within conversational AI systems. The model extends traditional chat-based language models by enabling them to determine when external functions should be called and how to extract the necessary parameters from natural language input. Function definitions are typically provided in JSON schema format, allowing the model to generate structured function... -
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Chess Coding Challenge
Create your own tiny chess bot
Chess Challenge is a programming competition framework that invites developers to create compact and efficient chess engines within strict constraints. The project provides a simplified chess environment and ruleset, enabling participants to focus on implementing decision-making logic rather than building a full engine from scratch. It is designed to encourage creativity and optimization, often limiting code size or execution time to push developers toward innovative solutions. Participants can write their own bots and compete against others, testing strategies and algorithms in a controlled environment. ... -
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XAgent
An Autonomous LLM Agent for Complex Task Solving
XAgent is an AI-driven autonomous agent framework capable of handling multi-step tasks across different domains. It enables AI agents to perform decision-making, task planning, and self-learning based on user-defined objectives, making it ideal for automation and research applications. -
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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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Discord Bot Token Checker
Check Your Discord Bot Tokens To Get Stats
Explore Your Discord Bot Tokens for Comprehensive Insights and Detailed Statistics Gain a Deeper Understanding of Your Discord Bot's Performance and Usage Patterns Ensure the Optimal Functionality of Your Bots by Checking Token Stats and Usage Metrics Unlock Valuable Data and Metrics by Reviewing Your Discord Bot Tokens, Enabling Informed Decision-Making and Enhanced Bot Management -
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find-similar
User-friendly library to find similar objects
The mission of the FindSimilar project is to provide a powerful and versatile open source library that empowers developers to efficiently find similar objects and perform comparisons across a variety of data types. Whether dealing with texts, images, audio, or more, our project aims to simplify the process of identifying similarities and enhancing decision-making. https://github.com/findsimilar/find-similar - GitHub repo http://demo.findsimilar.org/ - Demo project and tutorial https://docs.findsimilar.org/ - Documentation -
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ReAct Prompting
Synergizing Reasoning and Acting in Language Models
...Instead of generating answers in a single step, models using the ReAct approach produce intermediate reasoning steps and perform actions such as searching for information or interacting with external tools. This alternating sequence of reasoning, acting, and observing results allows the model to gather additional information and refine its decision-making process during task execution. The framework has been tested on several benchmarks including question answering, fact verification, and interactive decision-making tasks, demonstrating improved performance compared to methods that rely only on reasoning. -
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Chess-Coding-Adventure
A work-in-progress chess bot written in C#
...The project emphasizes learning by doing, encouraging users to implement features step by step rather than relying on prebuilt solutions. It also explores advanced topics such as evaluation functions and decision-making strategies. The code is designed to be clear and instructional, making it accessible to beginners while still offering depth for more experienced developers. It is often used alongside video tutorials that explain each step in detail. Overall, Chess Coding Adventure provides a comprehensive introduction to building game AI systems. -
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Repo of Tree of Thoughts (ToT)
Implementation of "Tree of Thoughts
...ToT allows LMs to perform deliberate decision-making by considering multiple different reasoning paths and self-evaluating choices to decide the next course of action, as well as looking ahead or backtracking when necessary to make global choices. -
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Work Case Toolkit 0.4 beta 1
Support variant based Java program execution, adapted to support MDE.
...Our main goal is to define an API that we can use embedded into any Java application to support dynamic execution based on variant flows. The variants are controlled by a graph decision using features diagrams relationships. The project was originally planned in 2005 to support Model Driven Architecture OMG approach, focusing specially on the management of architectural changes and models transformers. The main goal of the program is to design transformation chains based on features diagram variants. The model transformers orchestration is obtained by using Features Diagrams and Transformation Diagrams (a feature that must be re-implemented to support of a Java drawing API). ... -
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Machine Learning Git Codebook
For extensive instructor led learning
...The project is designed as a self-paced learning resource that walks learners through the full data science workflow, including data preprocessing, exploratory analysis, feature engineering, and model development. It covers a wide range of machine learning techniques such as decision trees, clustering methods, nearest neighbor algorithms, anomaly detection, and probabilistic classifiers. The repository organizes these topics into sequential notebooks that explain theoretical concepts while allowing users to experiment directly with code. Many lessons emphasize hands-on exercises where learners analyze datasets, implement algorithms, and evaluate results through visualizations and statistical metrics. -
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nussknacker
Real-time actions on data. A building block for low-code applications
...It serves where real-time actions on data have to be made: real-time marketing, fraud detection, Internet of Things, Customer 360, and Machine Learning inferring. An essential part of Nussknacker is a visual design tool for decision algorithms. It allows not-so-technical users – analysts or business people – to define decision logic in an imperative, easy-to-follow, and understandable way. Once authored, with a click of a button, scenarios are deployed for execution. And can be changed and redeployed anytime there’s a need. Nussknacker supports two processing modes: streaming and request-response. ... -
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Discursive Dilemma
Optimal Decision Rules for the Discursive Dilemma
Accompanying software for the paper "Optimal Decision Rules for the Discursive Dilemma", by A. Alabert, M. Farré and R. Montes (https://arxiv.org/abs/2210.13100). Computes a ranking of the best decision rules according to a quantitative criterion based on the minimisation of the combined probabilities of false positives and false negatives -
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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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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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NaveGo
NaveGo: an open source MATLAB/GNU Octave toolbox for processing integr
...I am reaching out to share an important update regarding the NaveGo project. Due to a shift in both my professional career and personal interests away from navigation systems, I have made the difficult decision to step down from my role as the lead developer of NaveGo. Effective immediately, NaveGo will transition to a community-driven project. This change opens up new opportunities for collaboration, innovation, and leadership within our vibrant community. I encourage each of you to actively participate, whether by answering questions in the discussion forum, contributing to the development of new features, or sharing your unique insights and expertise. -
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TARS
Markup builder on gulp
...It allows for easy expansion (creating new tasks) and customization (modification of existing tasks), provides a comfortable architecture for tasks and watchers storage in the project. To bypass dependency installation for every TARS project, TARS-CLI was created. As such, TARS is not a npm package by itself. This decision was made so that everyone could comfortably customize the builder for themselves. TARS-CLI is just a simple builder interface, which includes all dependencies for TARS. It is strongly recommended to use TARS-CLI for development. -
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Expert And Decision
Expert System
This app can create several expert systems. At the moment you can identify fern, spectral classes of stars and statistical forecast methods. Unfortunately this expert systems are created in german language. -
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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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This project had implemented an application basing the consistency-driven pairwise comparisons method. This application could be used as a supplement of any expert or knowledge management system. Multi-criteria decision making which is a sub-discipline of operations research explicitly evaluates multiple conflicting criteria in decision making. The consistency-driven pairwise comparisons method is a valuable tool for solving multi-criteria decision making problems. It is a powerful inference tool that could be used for knowledge acquisition for the knowledge management system. ...
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CovidPass
Web app for adding EU Digital COVID Certificates to your wallet apps
...Select a background color for your passport in the portfolio. Data privacy is of particular importance when processing health-related data. So that you can make an informed decision, please read the Privacy Policy. Processing of your data happens entirely in your browser and only a hashed representation is sent to the server for the signing step. -
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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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JDecisiontable
Stop to rack your brain, start using process-oriented decision tables!
This tool is about a method called "process-oriented decision tables". These are decision tables but different from "normal" decision tables. They fix the flaws of traditional decision tables making it a joy to work with. But they keep all benefits of traditional decision tables. First of all they present the logic in a very dense form. 1. Explore all possible combinations of conditions and actions by question-and-answer. 2.
