Search Results for "state machine editor"
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Showing 90 open source projects for "state machine editor"
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Spring Statemachine
Framework for application developers to use state machine concepts
The Spring Statemachine project aims to provide a common infrastructure to work with state machine concepts in Spring applications. It is advised to check the actual state of this project by referring to the latest releases found on the Spring Statemachine Project Page. The git repo default branch may be relatively unstable when new features are added to the source code. Spring Statemachine uses a Gradle-based build system. -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? -
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Apache Flink
Stream processing framework with powerful stream
...Developers program against high-level APIs—DataStream and Table/SQL—to express transformations, joins, and stateful patterns, while specialized libraries support CEP, machine learning workflows, and connectors. A rich connector ecosystem integrates with systems like Kafka, Kinesis, filesystems, JDBC sources/sinks, and object stores. Deployments span Kubernetes, YARN, Mesos, and standalone clusters, and operational features such as savepoints, state backends, and metrics make long-running jobs manageable in production. -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your... -
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Aeron
Efficient UDP unicast, UDP multicast, and IPC message transport
...Java and C++ clients are available in this repository, and a .NET client is available from a 3rd party. All three clients can exchange messages across machines, or on the same machine via IPC, very efficiently. Message streams can be recorded by the Archive module to persistent storage for later, or real-time, replay. Aeron Cluster provides support for fault-tolerant services as replicated state machines based on the Raft consensus algorithm. Performance is the key focus. A design goal for Aeron is to be the highest throughput with the lowest and most predictable latency of any messaging system. ... -
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WorldClassLeaderBoard Editor
World Class Leader Board Editor.
The editor is fully featured, ready to use, and able to export c64 disks. The source code is included in the zip (see the Files section). Prerequisites: - You need Java (>17) installed on your machine. Instructions: - download and unpack the zip - run editor.bat (Windows machines) or editor.sh (on Linux/MAC OS machines) Gameplay Retrogames World is the Twitch channel that playfully explores all aspects of retrogaming and modern video gaming, both on real hardware and emulation. ... -
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umple
The Umple Model-Oriented Programming Technology
Umple is technology for Model-Oriented Programming. It adds abstractions such as UML associations, attributes, and state machines to object-oriented programming languages such as Java, C++, PHP and Ruby. A developer can use Umple in one of several ways. They can start with a pure model, containing only classes, associations, attributes and state machines, and then gradually add methods in one of the base languages to the Umple code base. Alternatively a developer can start with a normal... -
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JQM Java Quine McCluskey
JQM - Java Quine McCluskey for minimization of Boolean functions.
Java Quine McCluskey (JQM) implements the Quine-McCluskey algorithm with Petrick’s Method for minimizing Boolean functions. Designed for both education and industrial application, it handles up to 16 variables and functions. Uniquely, JQM bridges the gap between theory and practice: it visualizes the solution process with generated Karnaugh Maps for students, while supporting PLC engineers by exporting results to Structured Text (ST) and Ladder Diagram (LD). The software includes a GUI for... -
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Kisekae UltraKiss
Kisekae UltraKiss is a full featured integrated development environmen
UltraKiss is a computer program that implements the Kisekae Set system, KiSS, a Japanese graphics system originally developed to facilitate costume changes on virtual dolls. UltraKiss was developed to help artists build their KiSS sets. It is a full featured viewer for all KiSS dolls, games, and visual applications. It is also a complete graphical development environment for creating KiSS applications. It fully implements the FKiSS event driven programming language up to and including... -
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SMC - The State Machine Compiler
Translates state machine into a target programming language.
SMC takes a state machine stored in a .sm file and generates a State pattern in 14 programming languages. Includes: default transitions, transition args, transition guards, push/pop transitions and Entry/Exit actions. See User Manual for more info. -
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DataGym.ai
Open source annotation and labeling tool for image and video assets
DATAGYM enables data scientists and machine learning experts to label images up to 10x faster. AI-assisted annotation tools reduce manual labeling effort, give you more time to finetune ML models and speed up your go to market of new products. Accelerate your computer vision projects by cutting down data preparation time up to 50%. A machine learning model is only as good as its training data. DATAGYM is an end-to-end workbench to create, annotate, manage, and export the right training data... -
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Classic HWUT
Software Unit Tests (Language Independent Approach)
...In particular for C, HWUT supports make file generation using 'sos' and 'sols' modes. Remote control-able function stubs may be generated using the 'stub' mode. Test cases can be generated using the 'gen' mode, and state machine walkers by the 'sm_walker' mode. Over the last decade HWUT has matured towards a full fledged unit test tool for a wide variety of applications. -
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YADE (SOSFTP)
A Batch and API oriented application for managed file transfer.
YADE (former SOSFTP) is a batch file transfer solution for FTP, FTPS, SFTP, WebDAV and other protocols. It provides a configurable command line client, an API and a bridge to the SOS JobScheduler. YADE comes with advanced error handling and logging capabilities. YADE is able to create and maintain a transfer history in a central database. Product Knowledge Base at https://kb.sos-berlin.com Change Management System at https://change.sos-berlin.com -
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Crispy Synced Notes
A note taking program with WebDAV sync
...Any changes are reflected in the file system directly. Features: - group notes and images in a tree structure (using folders) - can work on any directory on your machine - technically works like a file browser with inline text editing - synchronizes with any WebDAV server (optionally using SSL/TLS) - allows one-way and two-way synchronization - allows to encrypt your files locally and remote using AES256 - multi language support You can obtain the full source code at: https://crispy-cow.de/git/CrispySyncNote.git Latest changes: 2.1.0: Updated for Java 9 and up 2.0.2: Added more UI translation, updated greek language (thanks to geogeo) 2.0.1: Bugfix: Sync state is now copied when duplicating workspace due to change in encryption settings -
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ModelDB
Open Source ML Model Versioning, Metadata, and Experiment Management
An open-source system for Machine Learning model versioning, metadata, and experiment management. ModelDB is an open-source system to version machine learning models including their ingredients code, data, config, and environment and to track ML metadata across the model lifecycle. -
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exchange-core
Ultra-fast matching engine written in Java based on LMAX Disruptor
Exchange-core is an open-source market exchange core based on LMAX Disruptor, Eclipse Collections (ex. Goldman Sachs GS Collections), Real Logic Agrona, OpenHFT Chronicle-Wire, LZ4 Java, and Adaptive Radix Trees. Designed for high scalability and pauseless 24/7 operation under high-load conditions and providing low-latency responses. Single order book configuration is capable to process 5M operations per second on 10-years old hardware (Intel® Xeon® X5690) with moderate latency degradation.... -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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Java Game Development (Ninja Girl)
Example code for creating a 2D platform game in Java.
!Help Wanted! See Discussions for more details. A platform game demonstrating concepts for 2D platform game creation in Java. Collect the stars and go through the door to advance levels. Graphics courtesy of: https://www.gameart2d.com https://opengameart.org/content/animated-fire https://craftpix.net Levels created using https://www.mapeditor.org/ Project created in the Eclipse Java IDE. Keys: Up, Down, Left, Right - Move Player Space - Jump M - Throw Kunai Q, A - Scroll... -
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MITIE
MITIE: library and tools for information extraction
This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector Machines[3]. ... -
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The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit:...
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jPTbox
Java Performance Toolbox
The jPTbox is a library designed as a collection of various small tools that can be used in development of Java applications that have strong performance requirements. Including: - watchdog - state-machine - atomic sequencers - statistics counters - TLV - BNF -
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Paul's CDT Tools
State Machine Diagram Plug-In for Eclipse/CDT
Provides an Eclipse Plug-In to display state machine diagrams from C/C++ code. -
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Phrasal
Statistical phrase-based machine translation system
Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. -
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This is a set of regular grammar inference libraries. It contains tools to visualise the resulting grammar as a finite state machine and to actively contribute to the inference process. The repository has now moved to https://github.com/kirilluk/statechum
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Korat2015
Enhanced Korat supports GUI, FSM, JUNG and JSON.
...Korat 2015 includes the below enhancements to Korat: - Graphical User Interface using Java Swing - Graph Output Format using JUNG (Java Universal Network/Graph Framework) - Finite State Machine Domain - Graph Archival using JSON (JavaScript Object Notation) The Wiki page has information to download, install and run Korat 2015.