Search Results for "java machine learning library" - Page 27
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Showing 926 open source projects for "java machine learning library"
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Reactor Breeder
A Genetic Algorithm for Reactors in StarMade
This software uses a genetic algorithm to "evolve" reactor designs for Schema's space-simulation game, Star-Made (http://star-made.org/). One of the more unique aspects of the game is that ship power management is not as simple as filling a cube with power generation blocks. This mechanism leads to difficulties in getting maximal power generation out of such reactors. This program rectifies this issue by using a self-organizing variant of brute force search. Much of the search space is... -
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JUMLStateMachine
Java library implementing a state machine by the UML standard.
JUMLStateMachine is a Java library implementing a state machine by the UML standard. The purpose for the library is to be easily usable for small state machines, yet extendable and scalable for larger and more complex ones. -
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Open Pandora's Box
Pandora is an artificial intelligent web based bot
Pandora is an artificial intelligent web based bot written in Java. Pandora is a component based AI architecture including, database memory, XML, voice, voice rec, chat, IRC, HTTP, Wiktionary, Freebase, consciousness, language, GUI, applet, web, jsp, Android -
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Control Isolator
A Control Flow Java library based on Apache Commons SCXML state machin
The purpose of this library is making it possible to define a state machine that defines the life cycle phases of an application or process allowing to isolate working phases separating flow into "Works", each of them capable of executing one or more activities. The state machine is defined visually with the help of a WYSIWYG designer and stored in a common xml format: During execution it is possible to track the state of the application visually by connecting to a socket. Under... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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VIM cloud
Web Based IaaS Cloud Controller (VimCloud)
This is a pure IaaS cloud controller with all the basic functionality of IaaS Cloud Controller. This uses proposed “Trust Based Scheduling Algorithm and Load Balancing Algorithm”. It uses Cloud Architecture with Trust Management layer. It uses Qemu machine emulator and virtualizer as virtualization software at Host. It uses Libvirt driver [30] to interact with Qemu and to interact with its virtualization capabilities of a range of operating systems. Libvirt provides a common, generic and... -
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Intelligent e-knowledge base engine for any kind of knowledge-based applications, supporting effective knowledge presentation, precise knowledge search, adaptive learning and immediate consulting.
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CoffeeMud For AI
CoffeeMudForAI is plaform to design AI in
CoffeeMudForAI is part of the Mud AI platform project. A MUD(multi user dungeon) is text base environment. Think World of Warcraft(or any other massively multiplayer online game) but text based. AI or artificial intelligence is the field that is interested in the creation of non-organic intelligence. Mud AI platform goals 1. To provide a platform for AI research that has robotic-like sensory limitations but doesn't actually require robotics. 2. To provide a platform for undergraduate... -
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The Information Extraction Plugin allows the use of information extraction techniques within RapidMiner. It can be seen as an interface between natural language and IE- or datamining-methods, by extracting interesting information out of documents.
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Curvefit
CurveFit is a software development kit (SDK) to optimize curves
...In many industries like ads, clothing, leather, the designed drawing by special software is in curves, the curves would be converted to line and arcs if user want to cut out them by machine. CurveFit is the library achieves this function that simplifies the lines and arc and keep the drawing in acceptable accurate level. This library accepts solver parameters and data , then generate optimized result. It can decrease up to 90% lines and arcs quantity significantly. This SDK (curve fitting library) supports most platform from 32-bit/64-bit Windows to Linux/Unix system, it supports .NET and JAVA environment also. ... -
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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G-Asks is a question generation system, developed by LATTE(Learning and Affect Technologies Engineering) research group at The University of Sydney. It uses Natural Language Processing techniques and Machine learning algorithms to generate specific trigger questions. If you use this software in a publication, please cite the paper 2. 1.Ming Liu and Rafael A. Calvo (2012) “Using Information Extraction to Generate Trigger Question for Academic Writing Support”, 11th International Conference...
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JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.
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Large Scale Optimization Templates
C++ templates with generic nonlinear optimization algorithms
Highly tunable, simple to use collection of the templates, containing a set of classes for solving unconstrained large scale nonlinear optimization problems. Currently it contains: -- Limited Memory Quasi Newton (L-BFSG) -- BFSG -- Conjugate Gradient -- Gradient Descent -- Wolf condition Line Search -- Backtracking Line Search -- Exact Golden Search -- Golden Search with Wolf condition We also distribute a set of tests with the library. -
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orgPdf
this Software helps to organise Pdf files or ebooks in Pdf format
ENGLISH: This Sofftware is an application built to help people deal with their multiple Pdf files or ebooks in Pdf format and is extremely simple to use with a minimalistic interface. proper those people who do not like spending much time learning how an application functions. When the reader starts it, he needs to select the directory (folder) which contains the directories with the files, next the interface opens and it starts performing the magic. PORTUGUÊS Este software permite o... -
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JActor
High Performance, Lock Free Java Actors
JActor is a high-performance actor framework designed to make vertical scalability easy. JActor achieves its speed, in part, by almost always executing synchronously--though it is easy enough to force asynchronous processing when needed. JActor is divided into several GitHub projects: JActor - https://github.com/laforge49/JActor JID - https://github.com/laforge49/JID JFile - https://github.com/laforge49/JFile JANetty - https://github.com/kumarshantanu/JANetty -
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ABC-DynF
Adaptive Bayesian Classifier with Dynamic Features
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Jbookshelf
Jbookshelf is a portable library/video-library/collection manager!
Jbookshelf is a Bookcase and a book/video/collection or even warehouse manager; it can tracks any changes and shows the aspect of your libraries. It is portable, try to install it on a usb stick! It need only the Java runtime environment(JRE). Follow it on Facebook or G+ ! -
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AdPreqFr4SL
Adaptive Prequential Learning Framework
The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we... -
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TreeLiker
TreeLiker is a collection of fast algorithms for working with complex
TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem... -
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MACSY
Modular Architecture for Cognitive Systems
Macsy is a framework for developing modular agents. Data is organised in blackboards. Computations are performed by modules that annotate the data in the blackboards. Modules communicate indirectly through the annotations that they leave in the blackboards. The framework enables the development of decentralised software agents for a plethora of applications. -
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JaCHMM
Java Conditioned Hidden Markov Model library
The JaCHMM - the Java Conditioned Hidden Markov Model library - is a complete implementation of a CHMM in Java ready to use either on command line or as a module. The JaCHMM is licenced under the BSD licence. It gives an implementation of the Viterbi, Forward-Backward, Baum-Welch and K-Means algorithms, all adapted for the CHMM. JaCHMM is based on the JaHMM and also designed to achieve reasonable performance without making the code unreadable. Consequently, it offers a good way of... -
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Java examples for information retrievals covering themes like indexing, search, ranking, information extraction, regular expressions or crawling based on libraries such as Lucene. It provide support for learning information retrieval.
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NeuralGas
Self-organized learning
A collection of algorithms based on the topology preserving Neural Gas algorithm for density estimation/quantization/clustering/self-organized learning. I moved this project to GitHub: https://github.com/sergioroa/neuralgas -
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The AK toolkit is another kit for building and use Hidden Markov Models (HMMs). Originally developed for handwritten text recognition (HTR) using Bernoulli HMMs, it also implements diagonal Gaussians and can be used for any other purpose.
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Java Fast Method Call Graph Generator
Analysis tool that generates method call graphs
The project's aim is to develop a fast Method Call Graph generator for the Java Programming Language. The search proceedure combines a Finite State Machine and ad hoc parsing to allow for fast access to method definitions and method calls within the source code.
