Open Source Mac Artificial Intelligence Software
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Artificial Intelligence Software for Mac
View 1646 business solutionsBrowse free open source Artificial Intelligence software and projects for Mac below. Use the toggles on the left to filter open source Artificial Intelligence software by OS, license, language, programming language, and project status.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Pest Control Management SoftwareBuilt for the pest control industry, but also works great for Mosquito Control, Bin Cleaning, Window Washing, Solar Panel Cleaning, and other Home Service Businesses in need of an easy-to-use software that helps you simplify routing, scheduling, communications, payment processing, truck tracking, time tracking, and reporting.
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Weka
Machine learning software to solve data mining problems
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. -
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CLIPS Rule Based Programming Language
Expert System Tool
CLIPS is a forward-chaining rule-based programming language written in C that also provides procedural and object-oriented programming facilities. -
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Biogenesis is an artificial life program that simulates the processes involved in the evolution of organisms. It shows colored segment based organisms that mutate and evolve in a 2D environment. Biogenesis is based on Primordial Life.
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Google2SRT
Download, save and convert multiple subtitles from YouTube videos
Google2SRT allows you to download, save and convert multiple subtitles and translations from YouTube and Google Video to SubRip (.srt) format, which is recognized by most video players. You can download XML subtitles or simply type video's URL, Google2SRT will do the rest. -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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CoGrOO (A LibreOffice & OpenOffice.org Grammar Checker), the only open source Portuguese grammar checker that can be used with LibreOffice & OpenOffice.org.
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OpenNLP provides the organizational structure for coordinating several different projects which approach some aspect of Natural Language Processing. OpenNLP also defines a set of Java interfaces and implements some basic infrastructure for NLP compon
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chessPDFBrowser
Chess application whichs allows working with chess PDF books and PGNs.
Chess application which allows working with PDFs and PGNs. You can work with the chess games of the PDF and edit their tree of variants. Graphical environment. Standard PGN TAGs. PGN comments. Ocr like (Fen string detection from chess board position images). Connection to Uci chess engines (like stockfish). Position analysis, full game analysis. You can now play games against uci engines. pdf2pgn command line command included. Detailed documentation. Multilanguage currently support for English, Spanish and Catalan. Dark mode option. JDK-17 compatibility -
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The Mars Simulation Project is an open source Java project to create a simulation of future human settlement on the planet Mars. See https://github.com/mars-sim/mars-sim for the LATEST issues/wiki/code change
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CodinIT.dev
Free, local, open-source AI app builder
CodinIT.dev is a free, local, open source AI app builder that lets you go from idea to full-stack application entirely on your machine, no coding required, just chat with AI. You can build unlimited apps with real-time previews, instant undo, and responsive, frictionless workflows. Deep Supabase integration means you can create UI and backend logic in one cohesive environment, while the model-agnostic architecture lets you connect to any AI, whether cloud-based (Gemini 3 Pro, GPT-5, Claude Sonnet 4.5) or local via Ollama, so you’re never locked in. All source code remains on your device and integrates seamlessly with your preferred IDE. A natural-language API enables powerful data queries and updates, automating tasks without leaving the chat interface. By running entirely locally, CodinIT.dev delivers maximum privacy, minimal latency, and smooth developer experiences free from cloud-based inconsistencies. -
Rent Manager SoftwareRent Manager is award-winning property management software built for residential, commercial, and short-term-stay portfolios of any size. The program’s fully customizable features include a double-entry accounting system, maintenance management/scheduling, marketing integration, mobile applications, more than 450 insightful reports, and an API that integrates with the best PropTech providers on the market.
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ANts P2P realizes a third generation P2P net. It protects your privacy while you are connected and makes you not trackable, hiding your identity (ip) and crypting everything you are sending/receiving from others.
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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Concept Explorer implements basic functionality, needed for students and researchers in field of Formal Concept Analysis.
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EGO AGI
An inside-out cognitive engine based on autopoiesis and set theory
The Environment Generative Operator (EGO) is an AGI engine designed to create individuals capable of autonomous cognitive processes, based on the inside-out perspective of modern neuroscience. Their primary goal is survival – maintaining homeostatic equilibrium over time, which defines the system's operational framework. This approach aligns with autopoiesis, where a self-organizing system's cognitions consist of operations aimed at maintaining its own organization in response to environmental pressures. EGO's operational domain is an object language we call the 'E-language'. Each well-formed formula of the E-language is both a set and a logical statement. This enables EGO to express in the E-language the set-theoretic relationships that constitute its organization and the operations it implements to preserve it. EGO's ability to self-program its operations and express its own organization makes it a contribution to the field of Artificial General Intelligence (AGI). -
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UnBBayes
Framework & GUI for Bayes Nets and other probabilistic models.
UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit our wiki (https://sourceforge.net/p/unbbayes/wiki/Home/) for more information. Check out the license section (https://sourceforge.net/p/unbbayes/wiki/License/) for our licensing policy. -
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Conscious Artificial Intelligence
It's possible for machines to become self-aware.
This project is a quest for conscious artificial intelligence. A number of prototypes will be developed as the project progresses. This project has 2 subprojects: Object Pascal based CAI NEURAL API - https://github.com/joaopauloschuler/neural-api Python based K-CAI NEURAL API - https://github.com/joaopauloschuler/k-neural-api A video from the first prototype has been made: http://www.youtube.com/watch?v=qH-IQgYy9zg Above video shows a popperian agent collecting mining ore from 3 mining sites and bringing to the base. At the time the agent is born, it doesn't know how to walk nor it knows that it feels pleasure by mining. He has tact only (blind agent). The video shows learning, planning, executing and plan optimization. -
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Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning. Source code at SF is outdated! Marsyas is now hosted at GitHub: https://github.com/marsyas/marsyas Downloads are now provided at Bintray: https://bintray.com/marsyas
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OpenAI is dedicated to creating a full suite of highly interoperable Artificial Intelligence components that make the best use of today's technologies. Current tools include Mobile Agents, Neural Networks, Genetic Algorithms and Finite State Machines.
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Darkbot
The IRC's Talking Robot
[ Please read https://sourceforge.net/p/darkbot/news/2014/01/darkbots-revitalization/ ] Darkbot is a portable IRC chat robot written in the C language that can be taught responses to user inquiries, and even have conversations with them. Darkbot was originally created by Jason Hamilton as an aid for help channels on Intenet Relay Chat. -
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INGENIAS Development Kit (IDK) is a framework for analysis, design and implementation of multi-agent systems (MAS). It is based on the specification of MAS meta-models, from which tools such as the model editor and code generation are generated.
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JAABA
The Janelia Automated Animal Behavior Annotator
The Janelia Automatic Animal Behavior Annotator (JAABA) is a machine learning-based system that enables researchers to automatically compute interpretable, quantitative statistics describing video of behaving animals. Through our system, users encode their intuition about the structure of behavior by labeling the behavior of the animal, e.g. walking, grooming, or following, in a small set of video frames. JAABA uses machine learning techniques to convert these manual labels into behavior detectors that can then be used to automatically classify the behaviors of animals in large data sets with high throughput. JAABA combines an intuitive graphical user interface, a fast and powerful machine learning algorithm, and visualizations of the classifier into an interactive, usable system for creating automatic behavior detectors. Documentation is available at: http://jaaba.sourceforge.net/ -
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MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
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Open BEAGLE
Evolutionary Computation Framework in C++
Open BEAGLE is a C++ Evolutionary Computation (EC) framework. It provides an high-level software environment to do any kind of EC, with support for tree-based genetic programming; bit string, integer-valued vector, and real-valued vector genetic algorithms; and evolution strategy. The Open BEAGLE architecture follows strong principles of object oriented programming, where abstractions are represented by loosely coupled objects and where it is common and easy to reuse code. Open BEAGLE is designed to provide an EC environment that is generic, user friendly, portable, efficient, robust, elegant, and free. -
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jMIR
Music research software
jMIR is an open-source software suite implemented in Java for use in music information retrieval (MIR) research. It can be used to study music in the form of audio recordings, symbolic encodings and lyrical transcriptions, and can also mine cultural information from the Internet. It also includes tools for managing and profiling large music collections and for checking audio for production errors. jMIR includes software for extracting features, applying machine learning algorithms, applying heuristic error error checkers, mining metadata and analyzing metadata. -
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Redqueen is an UCI (Universal Chess Interface) only compatible chess engine written in C++.
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ADAMS
ADAMS is a workflow engine for building complex knowledge workflows.
ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. Operators include machine learning (WEKA, MOA, MEKA) and image processing (ImageJ, JAI, BoofCV, LIRE and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications.
