Search Results for "decision" - Page 11
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Showing 488 open source projects for "decision"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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CCZero (中国象棋Zero)
Implement AlphaZero/AlphaGo Zero methods on Chinese chess
ChineseChess-AlphaZero is a project that implements the AlphaZero algorithm for the game of Chinese Chess (Xiangqi). It adapts DeepMind’s AlphaZero method—combining neural networks and Monte Carlo Tree Search (MCTS)—to learn and play Chinese Chess without prior human data. The system includes self-play, training, and evaluation pipelines tailored to Xiangqi's unique game mechanics. -
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TestNGPDF
TestNG PDF Matrices Report
...It shows the failed test cases and reasons for failures 5. The TestNG PDF Matrices Report also provides test automation related matrices. 6. Lot of graphs provides information for managerial decision making. -
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Swing
A swipeable cards interface
...Swing is lightweight and framework-agnostic, making it easy to integrate into different web projects without heavy dependencies. It is commonly used for building interactive UI components such as recommendation systems or decision-based interfaces. Overall, swing offers a simple yet powerful way to implement gesture-driven interactions in web applications. -
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CodelPlant
Codelplant stat. multi-regression M-learning for leaves segmentation
CodelPlant is based on the creation of a statistical multi-regression decision tree from data obtained by pixel RGB-HSB machine learning analysis. The model is training with human observation, so the human factor is being entered the process. -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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Liberator
Liberator is a Clojure library for building RESTful applications
Liberator is a Clojure library designed for building RESTful web APIs in a principled, declarative manner. It abstracts HTTP semantics into resource constructs driven by representational state transfer, allowing deep control over HTTP behavior and content negotiation. Liberator used to be known as compojure-rest. It got renamed in July 2012. Liberator is loosely modeled after WebMachine and shares the same aims as Bishop. The examples in this document rely on you installing Leiningen 2. -
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DeepTraffic
DeepTraffic is a deep reinforcement learning competition
DeepTraffic is a deep reinforcement learning simulation designed to teach and evaluate autonomous driving algorithms in a dense highway environment. The system presents a simulated multi-lane highway where an AI-controlled vehicle must navigate traffic while maximizing speed and avoiding collisions. Participants design neural network policies that determine the vehicle’s actions, such as accelerating, decelerating, changing lanes, or maintaining speed. The project was created as part of an... -
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EECluster
Tool for energy-efficient resource management in HPC clusters
EECluster is software tool for managing the energy-efficient allocation of the cluster resources. EECluster uses a Hybrid Genetic Fuzzy System as the decision-making mechanism that elicits part of its rule base dependent on the cluster workload scenario, delivering good compliance with the administrator preferences. In the latest version, we leverage a more sophisticated and exhaustive model that covers a wider range of environmental aspects and balances service quality and power consumption with all indirect costs, including hardware failures and subsequent replacements, measured in both monetary units and carbon emissions. ... -
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Oryx
Lambda architecture on Apache Spark, Apache Kafka for real-time
Oryx 2 is a realization of the lambda architecture built on Apache Spark and Apache Kafka, but with specialization for real-time large-scale machine learning. It is a framework for building applications but also includes packaged, end-to-end applications for collaborative filtering, classification, regression and clustering. The application is written in Java, using Apache Spark, Hadoop, Tomcat, Kafka, Zookeeper and more. Configuration uses a single Typesafe Config config file, wherein... -
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Lihang
Statistical learning methods (2nd edition) [Li Hang]
...The repository aims to help readers understand the theoretical foundations of machine learning algorithms through practical implementations and detailed explanations. It includes notebooks and scripts that demonstrate how key algorithms such as perceptrons, decision trees, logistic regression, support vector machines, and hidden Markov models work in practice. In addition to code examples, the project contains supplementary materials such as formula references, glossaries of technical terms, and documentation explaining mathematical notation used throughout the algorithms. The repository also provides links to related research papers and references that expand on the theoretical background presented in the book. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Odin Map Generator
Map Generation Application and API
Odin is a map generator derived from map generation experiments for a video game called Crypts of Eldor; after requests to release the tool, a decision was made to release a map editor based on this code. Additionally, a Java API is provided so that the map generator can be integrated into new software. -
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Skater
Python library for model interpretation/explanations
...Model interpretation is the ability to explain and validate the decisions of a predictive model to enable fairness, accountability, and transparency in algorithmic decision-making. The library has embraced object-oriented and functional programming paradigms as deemed necessary to provide scalability and concurrency while keeping code brevity in mind. -
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Mixup-CIFAR10
mixup: Beyond Empirical Risk Minimization
...The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more robust to noise and adversarial examples. This repository implements mixup for the CIFAR-10 dataset, showcasing its effectiveness in improving generalization, stability, and calibration of neural networks. The approach acts as a regularizer, encouraging linear behavior in the feature space between samples, which helps reduce overfitting and enhance performance on unseen data. -
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Pragmatic AI
[Book-2019] Pragmatic AI: An Introduction to Cloud-based ML
Pragmatic AI is the first truly practical guide to solving real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Writing for business professionals, decision-makers, and students who aren’t professional data scientists, Noah Gift demystifies all the tools and technologies you need to get results. He illuminates powerful off-the-shelf cloud-based solutions from Google, Amazon, and Microsoft, as well as accessible techniques using Python and R. Throughout, you’ll find simple, clear, and effective working solutions that show how to apply machine learning, AI and cloud computing together in virtually any organization, creating solutions that deliver results, and offer virtually unlimited scalability. -
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ADR Tools
Command-line tools for working with Architecture Decision Records
A command-line tool for working with a log of Architecture Decision Records (ADRs). ADRs are stored in a subdirectory of your project as Markdown files. The default directory is doc/adr, but you can specify the directory when you initialize the ADR log. Create a directory named doc/architecture/decisions containing the first ADR, which records that you are using ADRs to record architectural decisions and links to Michael Nygard's article on the subject. -
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BEAST
BEAST is a tool dedicated to assess political goals of woody bioenergy
The BioEnergy Allocation and Simulation Tool (BEAST) is a tool dedicated to assess political goals of woody bioenergy production in the context of available biomass potentials and corresponding economic and ecological criteria on a regional level. It is a useful tool in participative decision making processes by iterative simulation and visualization of complex issues. BEAST is a data- and model-driven Decision Support System (DSS) evaluating woody biomass potentials from forests, hedges and trees outside forests as well as short rotation coppice (SRC). The latter one is modelled spatially explicit. This opens the possibility to identify prefered areas for SRC production under different restrictions and goals. ... -
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Active Intelligence Server
Reporting, Dashboarding, Analytic, Self-service BI, Ad-hoc reporting
Active Intelligence Server 2 (AIS) is a data visualization tool and fully featured reporting server which enable users from open source community to host any reports created using BIRT, Jasper and Pentaho community edition allowing organization to leverage open source technologies and enable them to use AIS as a reporting server to deploy their existing and new reports seamlessly onto AIS for secure sharing the information in different file formats and schedule to make system automation and much more. AIS comes with self-service BI capabilities enabling end users to make the data-driven decision at the right time, all with minimal IT dependency. Tightly integrated user and role management ensure correct information distribution that prevents unauthorized access to information, collaboration is ever so easy with AIS that people with no BI knowledge can start real-time collaboration in minutes. AIS 2 is also available from the website http://activeintelligence.co.uk/download -
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Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months"
...Because ML is a wide field, the curriculum favors pragmatic coverage over academic completeness, pointing learners to widely used tools and approachable resources. It’s intended to help beginners overcome decision paralysis by giving a concrete schedule and a minimal set of action-oriented tasks. -
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A java decision supporting application for the urban planning domain. It is designed as a desktop frontend to a Mixed Integer Programming engine. Actually it uses the GNU Linear Programming Kit (GLPK).
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Web design in 4 minutes
Learn the basics of web design in 4 minutes
This repository contains a single, short tutorial that incrementally transforms a bare HTML document into a clean, readable webpage, teaching design by doing. Each step introduces one design decision—typography, spacing, color, alignment, hierarchy—and shows exactly how it changes the page. The lesson is intentionally minimal and time-boxed so beginners can grasp core principles without being overwhelmed by tooling or frameworks. It focuses on taste-building: why certain choices make text easier to scan, why rhythm and whitespace matter, and how contrast guides attention. ... -
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Concluder
The consistency-driven pairwise comparisons method (CDPC)
A simple tool for complex decision making. The consistency-driven pairwise comparisons method (CDPC) is primarily for multi-criteria decision making. Pairwise comparisons have been used for projects of national importance (e.g., the use of nuclear power). This project was originally financed by the Ministry of Northern Ontario and Mines well as Euro Grant (Human Capital). -
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Decision Maker
A Program for making decisions.
Can't decide what fast food to order? What show to watch? simply input your options to Decision maker and you're on your way to a stress free decision. -
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Machine-Learning-Flappy-Bird
Machine Learning for Flappy Bird using Neural Network
Machine-Learning-Flappy-Bird is an educational machine learning project that demonstrates how an artificial intelligence agent can learn to play the Flappy Bird game using neural networks and evolutionary algorithms. The system simulates a population of birds that each possess their own neural network, which acts as a decision-making controller during gameplay. The neural network receives input features representing the bird’s position relative to the next obstacle and determines whether the bird should flap or remain idle. Over successive generations, a genetic algorithm evolves the neural networks by selecting high-performing agents and recombining their parameters to produce improved offspring. ... -
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NICeSim
NICeSim: A simulator based on machine learning techniques
Work described in the paper: NICeSim: An open-source simulator based on machine learning techniques to support medical research on prenatal and perinatal care decision making http://www.aiimjournal.com/article/S0933-3657%2814%2900104-3/abstract If you use this program in your research, please cite our paper properly. -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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GDL Editor
Computerized guideline editor for clinical decision support
The GDL editor is multiplatform application that allows users to create, edit and run GDL files. GDL is a formal language designed to represent clinical knowledge for decision support. It is designed to be natural language- and reference terminology- agnostic by leveraging the designs of openEHR Reference Model and Archetype Model. The tool provides an editing and testing environment capable of generating forms based on the elements defined in the GDL. Requirements: Java Runtime Enviroment (JRE) 1.6 or higher
