Showing 917 open source projects for "simulation model library"

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  • 1
    Graph Nets library

    Graph Nets library

    Build Graph Nets in Tensorflow

    Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the...
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  • 2
    An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
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  • 3
    libagents

    libagents

    Multi-threaded C++11 Actor Model library

    libagents is a C++11 implementation of the "Actor Model" (http://en.wikipedia.org/wiki/Actor_model). The libagents API allows for a natural decoupling of the core application logic from the application shell, thus facilitating the development of easily portable applications. Tested with: * gcc-4.9.1_x86 (Qt-5.4.2_windows_x86) on WinXP_x86, Win7_x86, Win8.1_x64 * gcc-7.3.0_x64 (Qt-5.9.5_linux_x64) on Ubuntu18.04_x64
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  • 4
    CASUP

    CASUP

    Cellular Automata library for SUPercomputers (CASUP)

    CASUP is a Cellular Automata (CA) library for HPC and supercomputers. It can be used in materials science (microstructure evolution, grain coarsening, fracture etc.), physics (Ising magnetisation) and for many other CA. If you use the library, please reference it as: A. Shterenlikht, L. Margetts, Three-dimensional cellular automata modelling of cleavage propagation across crystal boundaries in polycrystalline microstructures, Proc. Roy. Soc. A 471:20150039, DOI:...
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    CrypTen

    CrypTen

    A framework for Privacy Preserving Machine Learning

    ...Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. Its design mirrors PyTorch’s modular and library-based structure, enabling flexible experimentation, debugging, and model development. The framework supports both encryption and decryption of tensors and operations such as addition and multiplication over encrypted values. Although not yet production-ready, CrypTen focuses on advancing real-world secure ML applications, such as training and inference over private datasets, without exposing sensitive data.
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  • 6
    DuroDBMS

    DuroDBMS

    Relational Database Management System

    A relational database management system, based on the principles laid down in the book "Databases, Types, and The Relational Model: The Third Manifesto" by C. J. Date and Hugh Darwen.
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  • 7

    Util

    Java util library with many goodies that will blow Your mind.

    My Java util library. It contains many variations of Enumerations, Iterators, Collections, Sets and Maps (e.g. Map2D, Map3D, InvertibleMap, SetMap). It also contains very nice Model-View-Adapter framework. Necessarily see the AnotherClass interface. It will blow your mind. Furthermore it contains interfaces like: Hierarchical, Factory, Converter, Overridable, Persistable, Bindable, Sequential and many other.
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  • 8
    DTL

    DTL

    Dungeon free resources (terrain & roguelike generation)

    Dungeon free resources (terrain & roguelike generation).
    Downloads: 1 This Week
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  • 9
    RecNN

    RecNN

    Reinforced Recommendation toolkit built around pytorch 1.7

    This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like.
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  • 10
    Incremental DOM

    Incremental DOM

    An in-place DOM diffing library

    Incremental DOM is a lightweight library for building DOM trees by issuing imperative update instructions, avoiding heavyweight virtual DOM diffing at runtime. Instead of creating and diffing large object graphs, templates compile to a sequence of function calls that “patch” the live DOM in place. This model eliminates allocations associated with virtual trees and allows updates to be streamed directly to the DOM, which can improve memory usage and reduce GC pressure. ...
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  • 11
    PyTorch Natural Language Processing

    PyTorch Natural Language Processing

    Basic Utilities for PyTorch Natural Language Processing (NLP)

    PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license.
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  • 12
    Ness PHP

    Ness PHP

    A php framework with zero configuration.

    Website: https://nessphp.github.io GitHub: https://github.com/nessphp Documentation: https://nessphp.github.io/docs/index.html Donate: https://paypal.me/sinansalichasan Welcome to Ness PHP Framework. Do you need a web framework with minimized training effort? Ness PHP offers you a model-view-controller based environment for coding faster, safer and stronger web applications with (nearly) zero configuration. Get rid of mess and focus the main logic of your project Ness...
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  • 13
    TF Quant Finance

    TF Quant Finance

    High-performance TensorFlow library for quantitative finance

    TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The...
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  • 14
    MLBox

    MLBox

    MLBox is a powerful Automated Machine Learning python library

    MLBox is a powerful Automated Machine Learning python library. Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation.
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  • 15
    React Sortable HOC

    React Sortable HOC

    Turn any list into an animated, accessible and sortable list

    The React Sortable HOC project is a higher-order component library for React that enables drag-and-drop sorting of lists and collections. It provides a set of utilities that allow developers to create sortable interfaces with smooth animations and minimal effort. The library is built on top of React’s component model, making it easy to integrate into existing applications. It supports features such as keyboard accessibility, customizable drag handles, and dynamic list updates. ...
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  • 16
    backtrader

    backtrader

    Python Backtesting library for trading strategies

    ...Its Cerebro engine coordinates strategies, data feeds, brokers, indicators, analyzers, and execution. Developers can combine multiple strategies, instruments, and timeframes while resampling or replaying market data. The framework includes a large indicator library, custom indicator support, analyzers, position sizing, commissions, and trading calendars. Its broker simulation supports market, limit, stop, trailing, OCO, and bracket-style orders along with slippage and volume filling. Backtrader can also work with live data and brokerage integrations and provides integrated charting for strategy analysis.
    Downloads: 11 This Week
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  • 17
    DESMO-J is a framework for rapidly building discrete event driven simulation models in Java, which is not restrained to any particular domain of application. It supports both event-oriented and process-oriented modelling views. See http://desmoj.de.
    Downloads: 14 This Week
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  • 18
    MvvmTools

    MvvmTools

    A library that provide the following cross platform features

    A library that provides the following cross-platform features: -Direct bind of the events (in your views) to the methods or commands (in your view models) in your XAML code -Creating a preview of your view model at design time -Easy way of creating commands in your view models. MvvmTools is a collection of utilities for accelerating MVVM development in .NET applications, providing ready-to-use components.
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  • 19
    Gio.js

    Gio.js

    A declarative 3D globe data visualization library built with Three.js

    Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. Gio.js is an open source library for web 3D globe data visualization built with Three.js.
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  • 20
    Moqui Ecosystem
    ...Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable screens (SimpleScreens), and integration components for EDI, Authorize.NET, and Shippo. There are 2 main applications in the ecosystem: POP Commerce ERP and eCommerce for retail and wholesale, and HiveMind Project Management and ERP for service organizations. NOTE: the code repositories for Moqui Ecosystem are hosted on GitHub at: https://github.com/moqui
    Downloads: 1 This Week
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  • 21
    JAS-mine

    JAS-mine

    Toolkit for agent-based & dynamic microsimulation modelling

    JAS-mine is a Java platform that aims at providing a unique simulation tool for discrete-event simulations, including agent-based and microsimulation models. With the aim to develop large-scale, data-driven models, the main architectural choice of JAS-mine is to use whenever possible standard, open-source tools already available in the software development community. It has built-in utilities for communicating with an underlying relational database. In addition, the platform provides...
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  • 22
    Himotoki

    Himotoki

    A type-safe JSON decoding library purely written in Swift

    Himotoki is a type-safe JSON decoding library written purely in Swift. This library is highly inspired by the popular Swift JSON parsing libraries: Argo and ObjectMapper.
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  • 23
    Django REST Pandas

    Django REST Pandas

    Serves up Pandas dataframes via the Django REST Framework

    Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This...
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  • 24
    SystemC Network Simulation Library (SCNSL) is an extension of SystemC to allow modelling packet-based networks such as wireless networks, ethernet, fieldbus, etc. As done by basic SystemC for signals on the bus, SCNSL provides primitives to model packet trasmission, reception, contention on the channel and wireless path loss. The use of SCNSL allows the easy and complete modelling of distributed applications of networked embedded systems such as wireless sensor networks, routers, and distributed plant controllers. ...
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  • 25
    Mosby

    Mosby

    Model-view-presenter and model-view-intent library for modern Android

    Mosby is a model-view-presenter and model-view-intent library designed specifically for Android apps. Migrating a Mosby 2.x based app to Mosby 3.0 should be straightforward. Just replace all import statements of your app in android studio. Mosby has a plugin for Conductor. The aim of this library is to help you build modern android apps with a clean Model-View-Presenter architecture.
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