Search Results for "simulation model library" - Page 27

Showing 2367 open source projects for "simulation model library"

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  • 1
    LightSeq

    LightSeq

    A High Performance Library for Sequence Processing and Generation

    Lightseq is a high-performance library focused on efficient inference and training for deep learning models, especially large language models (LLMs) and transformer-based architectures. Its goal is to optimize both memory usage and computational throughput, enabling faster training or inference on limited hardware while maintaining model quality. Lightseq provides optimized CUDA kernels, quantization strategies, and runtime optimizations tailored for transformer operations — which often are bottlenecks in conventional frameworks — thereby reducing memory footprint, improving speed, and making deployment of large-scale models more accessible. ...
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  • 2
    JSON Tutorial

    JSON Tutorial

    JSON library tutorial from scratch

    JSON Tutorial is Milo Yip’s from-scratch tutorial for building a JSON library in C. It teaches software construction through a practical, standards-based project rather than abstract exercises alone. The tutorial guides learners through implementing JSON parsing, data representation, numbers, strings, arrays, objects, memory management, testing, and related library behavior. JSON is chosen because it is simple enough for learners to approach, but real enough to demonstrate how useful...
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  • 3
    AllenNLP

    AllenNLP

    An open-source NLP research library, built on PyTorch

    AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional...
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  • 4
    MonteCarlo.jl

    MonteCarlo.jl

    Classical and quantum Monte Carlo simulations in Julia

    MonteCarlo.jl is a package implementing classical and quantum Monte Carlo simulations primarily for solid state physics. Currently the focus is on finding a overall design for the package and verifying that determinant Quantum Monte Carlo (DQMC) is working correctly. As such the package may still go through significant changes and the documentation may be outdated and incomplete. Note that classical Monte Carlo is also not a focus at this point. It is probably usable, but a lot of the...
    Downloads: 1 This Week
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  • 5
    abstract2paper

    abstract2paper

    Auto-generate an entire paper from a prompt or abstract using NLP

    Enter your abstract into the little doohicky here, and quicker'n you can blink your eyes1, a shiny new paper'll come right out for ya! What are you waiting for? Click the "doohicky" link above to get started, and then click the link to open the demo notebook in Google Colaboratory. To run the demo as a Jupyter notebook (e.g., locally), use this version instead. Note: to compile a PDF of your auto-generated paper (when you run the demo locally), you'll need to have a working LaTeX...
    Downloads: 1 This Week
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  • 6
    Mojoc

    Mojoc

    A cross-platform, open-source, pure C game engine for mobile game

    ...It currently works on IOS and Android, but can easily be extended to other platforms, and will support more platforms in the future. In platform-independent code, Mojoc uses only the standard C library, no dependence on third-party libraries. Mojoc uses an extremely lightweight OOC (Object Oriented C) programming model. Mojoc application architecture is based on components, state-machines and is message-driven. Mojoc has been used for a cross-platform Android and IOS game. The samples will show all aspects of the Mojoc features. ...
    Downloads: 1 This Week
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  • 7
    Gym

    Gym

    Toolkit for developing and comparing reinforcement learning algorithms

    Gym by OpenAI is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents, everything from walking to playing games like Pong or Pinball. Open source interface to reinforce learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. It makes no...
    Downloads: 0 This Week
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  • 8
    FastAdapter

    FastAdapter

    The bullet proof, fast and easy to use adapter library

    The FastAdapter is here to simplify creating adapters for RecyclerViews. Don't worry about the adapter anymore. Just write the logic for how your view/item should look like, and you are done. It's blazing fast, minimizing the code you need to write, and is easy to extend.
    Downloads: 0 This Week
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  • 9

    CoolingPower

    Print Steam Tables; Plot diagrams and cycles from equations of state

    ...CoolingPower operates in GUI format and, for Unix-based machines, from the terminal. Fluid state properties and Steam Tables can be printed to the screen or to file. Compiling and execution utilizes the GNU Scientific Library derivative functions and the Boost.signals2 and Boost.bind libraries. Unix-based operating systems also require the Boost program options library. The repository is structured as described in https://nvie.com/posts/a-successful-git-branching-model/ .
    Downloads: 0 This Week
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  • 10
    PyTorch Transfer-Learning-Library

    PyTorch Transfer-Learning-Library

    Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.

    TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please...
    Downloads: 0 This Week
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  • 11
    Phosphor (for Fabric)

    Phosphor (for Fabric)

    A Fabric mod designed to improve the performance of Minecraft

    Phosphor is a free and open-source Minecraft mod (under GNU GPLv3) aiming to save your CPU cycles and improve performance by optimizing one of Minecraft's most inefficient areas-- the lighting engine. It works on both the client and server and can be installed on servers without requiring clients to also have the mod. The mod is designed to be as minimal as possible in the changes it makes, and as such, does not modify the light model or interfaces of vanilla Minecraft. Because of this,...
    Downloads: 12 This Week
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  • 12
    LaMa

    LaMa

    LaMa - A Localization and Mapping library

    LaMa is a C++11 software library for robotic localization and mapping developed at the Intelligent Robotics and Systems (IRIS) Laboratory at the University of Aveiro - Portugal. It includes a framework for 3D volumetric grids (for mapping), a localization algorithm based on scan matching, and two SLAM solutions (an Online SLAM and a Particle Filter SLAM). The main feature is efficiency.
    Downloads: 0 This Week
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  • 13
    apl-library

    apl-library

    Useful stuff for APL programmers

    This collection of APL libraries have been contributed to GNU APL and should be downloaded here: https://gnu.org/software/apl.
    Downloads: 0 This Week
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  • 14
    Jraph

    Jraph

    A Graph Neural Network Library in Jax

    ...The library includes a comprehensive set of utilities for batching, padding, masking, and partitioning graph data, making it ideal for distributed and large-scale GNN experiments. Jraph also comes with a model zoo—a collection of forkable reference implementations of common message-passing GNN architectures, such as Graph Networks, Graph Convolutional Networks, and Graph Attention Networks.
    Downloads: 0 This Week
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  • 15
    Reinforcement Learning Methods

    Reinforcement Learning Methods

    Simple Reinforcement learning tutorials

    ...It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can easily trace how actions, rewards, and model updates connect. The project also includes demo scripts that visualize learning curves and allow students to observe policy improvement over training iterations. ...
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  • 16
    UIBM (= Universal Individual-Based Model) is an agent-based simulation/3d-dvisualization of the dynamics within multispecies plant communities of Northwest Europe, parameterized from databases using universal scaling laws.
    Downloads: 0 This Week
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  • 17
    QtJSBSim

    QtJSBSim

    A distributed flight sim and front end for JSBSim

    This Qt5 app can send controls data to an instance of JSBSim standalone, and can read and display data from JSBSim. You can think of QtJSBSim as a simulator, with JSBSim as the flight dynamics model back end. For out-the-window visuals you can send data to FlightGear.
    Downloads: 2 This Week
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  • 18
    Soss

    Soss

    Probabilistic programming via source rewriting

    Soss is a library for probabilistic programming. Soss and DynamicPPL are both maturing and becoming more complete, so the above will change over time. It's also worth noting that we (the Turing team and I) hope to move toward a natural way of using these systems together to arrive at the best of both.
    Downloads: 0 This Week
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  • 19
    nlpaug

    nlpaug

    Data augmentation for NLP

    This Python library helps you with augmenting nlp for your machine learning projects. Visit this introduction to understand Data Augmentation in NLP. Augmenter is the basic element of augmentation while Flow is a pipeline to orchestra multi augmenters together.
    Downloads: 0 This Week
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  • 20
    Brain Tokyo Workshop

    Brain Tokyo Workshop

    Experiments and code from Google Brain’s Tokyo research workshop

    The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The...
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  • 21
    Flowy

    Flowy

    The minimal javascript library to create flowcharts

    ...The library focuses on simplicity and aesthetics, offering a clean look out of the box that can be customized with your own CSS, making it suitable for dashboards, SaaS products, or internal tools. Events emitted by flowy enable integration with your own data model, so you can sync block positions, connections, and metadata back to a database or application state.
    Downloads: 0 This Week
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  • 22
    ModelRunner

    ModelRunner

    Lisflood batch processor

    ModelRunner is a simple batch processor to run Lisflood models.
    Downloads: 0 This Week
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  • 23
    The FMI++ Library

    The FMI++ Library

    A High-level Utility Package for FMI-based Software Development

    ...The FMI++ library intends to bridge the gap between the basic FMI specifications and the typical requirements of simulation tools. It is distributed using a BSD-like license.
    Downloads: 0 This Week
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  • 24
    SageMaker MXNet Inference Toolkit

    SageMaker MXNet Inference Toolkit

    Toolkit for allowing inference and serving with MXNet in SageMaker

    SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. ...
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  • 25
    Blankly

    Blankly

    Easily build, backtest and deploy your algo in just a few lines

    ​Blankly is a live trading engine, backtest runner and development framework wrapped into one powerful open-source package. Models can be instantly backtested, paper traded, sandbox tested and run live by simply changing a single line. We built blankly for every type of quant including training & running ML models in the same environment, cross-exchange/cross-symbol arbitrage, and even long/short positions on stocks (all with built-in WebSockets). Blankly is the first framework to enable...
    Downloads: 0 This Week
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