Open Source Linux UML Tools

TensorFlow.js is a library for machine learning in JavaScript. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Retrain pre-existing ML models using your own data. Build and train models directly in JavaScript using flexible and intuitive APIs. Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions. Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript.

SageMaker Hugging Face Inference Toolkit is an open-source library for serving Transformers models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain Transformers models and tasks. It utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. The SageMaker Hugging Face Inference Toolkit implements various additional environment variables to simplify your deployment experience. The Hugging Face Inference Toolkit allows user to override the default methods of the HuggingFaceHandlerService. SageMaker Hugging Face Inference Toolkit is licensed under the Apache 2.0 License.

That project aims at providing a clean API, and the corresponding C++ implementation, for the basis of Airline IT Business Object Model (BOM), ie, to be used by several other Open Source projects, such as RMOL, Air-Sched, Travel-CCM, OpenTREP, etc.

Our goal is to develop a full working solver for ATA (with 1 clock) in Python, with MTL to ATA support. The decidability for the emptiness problem was proposed by Lasota and Walukiewicz. The MTL to ATA was proposed by Ouaknine and Worrell.

This repository contains a list of AutoML related models and libraries. Google Brain researchers have introduced a new way of programming automated machine learning (AutoML) based on symbolic programming. The researchers also proposed PyGlove, a general symbolic programming library for Python, to implement the symbolic formulation of AutoML. AutoML, designed to fill the machine learning industry’s talent gap, is gaining traction among various organizations.

EasyCP is a modern, user-friendly C++ library that lets you use constraint programming in a very natural way, taking advantage of its expressive power. Just model and let the CSP (Constraint Satisfaction Problem) solver do the job !

Japrosim is a java library for both discrete event and continuous simulation. GUI for modeling and automatic code generation are offered. An explanation module is integrated. Models are described in XML and owl for interoperability.

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.

A basic package that represents graphs along with some basic graph algorithms in Java. The idea is to keep the representation simple, straightforward and documented.

This project is intended to fill the gap between the semantic web and the mainstream of software engineering, especially to integrate the semantic web with programming languages, and find an ontological representation of programming languages, including abstract syntax code execution, and global interoperability in execution environments. The machine executable language is modelled in OWL 2 DL using OWL API in C++ developed in this project.

C++ template library for modular construction of factored probabilistic time-series models, model trainers, and recognizers.

Maya plugin that combines useful skinning, smoothing, computational geometry and conversion tools. Also includes advanced C++ utility library.

Briefly said, PetriNetExec is an open-source Java library which allows you to embed Petri Nets into your Java application. Using PetriNetExec you can define places and transitions, connect them using arcs and inhibitors, define the initial marking and then fire events and see how tokens flow into the network. * PetriNetExec does not provide a GUI for editing the network nor will it provide in the near future. That is not really a feature :-) but to those of you able to cope with this news I suggest to read further; * Petri Nets are created with PetriNetExec by writing Java code and using the provided API; * PetriNetExec provides a simple yet powerful callback mechanism allowing you to actually do something when events are fired and the network status is changing. * PetriNetExec is embeddable into your Java application. This means that you can build your own application and add Petri Nets into it. * PetriNetExec is open-source.

This is an entity relationship diagram visualization widget programmed on QT4. With this tool you can draw objects (computers, people, whatever), and the relationship between them.

Handle your db with magic features automatic schema adapting based on your php classses ** PROGECT NOW ON GITHUB ** GOTO: https://github.com/Javanile/SchemaDB

This is a collection of tools and a code library to assist engineers who are developing SystemVerilog based verification environments. Components include utility libraries, scoreboard and shutdown manager implementation, register tool, etc.

Xtu is a support framework for implementing Platform specific models (PSM) using the xUML methodology. xUML is a formalized methodology for Model based systems engineering (MBSE) targeted at SW and HW development. Xtu implements the xUML elements Domains, Bridges, Signals, Classes, States, Events & Finite state machines. Xtu targets C++11 & STL compatible PSMs.

The embedded Finite State Machine (FSM) Facility that can be used to model and control a reactive or stateful system. The system can be represented by any number of states. State transitions are driven by a number of events. eFSM is written in C.

GLOB allows OpenGL programmers to create a variety of 3D meshes ranging from spheres, cubes and cyliders to NURBS and extrusions. GLOB compiles under Windows, Linux-based OSs and MAC. The library is compatible with OpenGL 4.0+ and doesn't use any deprecated features. 4 attrributes: 4D color, 3D normal, 3D position and 2D texture coordinate are stored per vertex in VAO (Vertex Array Objects). GLOB doesn't do any rendering to the screen and only builds the attributes for the mesh. Thus, the user must provide his own shader programs. However, if there is no current shader program registered, a default one is used which will depict the mesh under simple lighting and texture map. The GLOB API is very simple and intuitive to use, providing opportunities for customization, including that of normal and texture mapping.

instantFSM is a header-only C++ state machine library. Its goal is to make state machine declaration and use easy enough that it can be integrated into your projects painlessly. Have a look atp the wiki where you will find a tutorial, samples, and a cheatsheet to get accustomed with instantFSM. The only instantFSM header file is downloadable from the files section or you can check it out from the git repository.

Clothes - sewing CAD for creation of models of clothes. Based on the new concept of the automated designing of clothes with use of parametrical model. Creates a base design of model of clothes and allows to change it depending on necessity of updating.