Search Results for "simulation model library" - Page 32
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Showing 2367 open source projects for "simulation model library"
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wav2letter++
Facebook AI research's automatic speech recognition toolkit
First, install Flashlight (using the 0.3 branch is required) with the ASR application. This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run... -
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ModbusPal - a Java MODBUS simulator
Modbus slave simulator
ModbusPal is a project to develop a PC-based Modbus simulator. Its goal is to reproduce a realistic environment, with many slaves and animated register values. Almost everything in ModbusPal can be customized and controlled by scripts. -
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The Whole Platform is a technology for engineering the production of software. We provide an Eclipse based Language Workbench for developing, manipulating and transforming languages using a model driven approach.
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data... -
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XG-PON Module for NS-3 (moved to GitHub)
Codebase moved to GitHub - use the Blue button or link in Description
...Please use the below citation when using this module: Arokkiam, Jerome A, Pedro Alvarez, Xiuchao Wu, Kenneth N Brown, Cormac J Sreenan, Marco Ruffini, Nicola Marchetti, Linda Doyle, and David Payne. “Design, Implementation, and Evaluation of an XG-PON Module for the Ns-3 Network Simulator.” SIMULATION 93, no. 5 (May 2017): 409–26. doi: 10.1177/0037549716682093 -
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eMatrix
A C++ Matrix Library
eMatrix is a lightweight matrix library developed in C++. EMatrix is designed to help solve engineering problems requiring linear algebra. eMatrix is OS independent and is fairly portable. New features include inv(A) and det(A). -
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JUMBL
J Usage Model Builder Library
JUMBL is a command line app and Java library that supports automation of model-based statistical testing. It supports creation, management, and application of usage models in the form of finite state Markov chains. -
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Carnatic Music Guru / JRaaga
Carnatic Music Guru - JRaaga
VISIT THIS PAGE AS MORE FEATURES ARE BEING ADDED. If you have downloaded 2.03 or above - Use Help>Check Updates to download latest version. If that does not update: Download CMGUpdater from here: update/CMGUpdater.jar Copy it to the update/ folder of your JRaaga installation path. Try again Help>Check for updates. If it does not work. Delete existing installation. Download the latest version and try. Carnatic Music Guru is a tutor/player/lesson generator. YOU NEED Java Runtime... -
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Newsvendor Model Simulation Spreadsheet
Excel Spreadsheet Model for Single Period Inventory Problems
The spreadsheet (Excel) of a single-period inventory model with stochastic demand can be used as a simulation tool for engineering education or Decision Support System. Based on spreadsheet techniques and examples described in the following sources: Albright S. C., & Winston W. L. (2005). Spreadsheet modeling and applications: essentials of practical management science, South-Western Pub. -
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Muze
Composable data visualisation library for web
Muze is a composable data visualization library for the web that enables developers to create highly interactive and exploratory charts using a data-first design philosophy. Built around a layered Grammar of Graphics approach, it allows users to define visualizations declaratively by mapping data attributes to visual components such as axes, colors, and shapes. The library emphasizes composability, meaning multiple layers and interactions can be combined to produce complex, multi-dimensional visualizations similar to those found in advanced analytics tools like Tableau. ... -
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Redux-ORM
A small, simple and immutable ORM to manage relational data
...All queries are lazily evaluated and come with built-in support for memorization. It provides a clean abstraction over low-level updates, protecting the state from accidental mutations. With nearly 100% branch coverage, the library is thoroughly tested to ensure rock-solid code quality. No matter where your data comes from, Redux-ORM will stay out of its way. Even a custom database layer is possible. Defining fields on a Model specifies the table structure in the database for that Model. In order to generate a description of the whole database's structure, we need a central place to register all Models we want to use. ... -
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Antimony
Antimony is a human-readable, human-writable model definition language
Antimony is a human-readable, human-writable model definition language. libAntimony is a library that will read and write Antimony and SBML files and provides an API for other programs to import Antimony models into their own internal formats. -
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COVID-19 Scenarios
Models of COVID-19 outbreak trajectories and hospital demand
Models of COVID-19 outbreak trajectories and hospital demand. This tool is based on the SIR model (see about page for details) that simulates a COVID19 outbreak. The population is initially mostly susceptible (other than for initial cases). Individuals that recover from COVID19 are subsequently immune. Currently, the parameters of the model are not fit data but are simply defaults. These might fit better for some localities than others. -
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Higher
higher is a pytorch library
higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
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Programmer's library for random numbers. Also random number generator testing code. Intended for simulation, games and "Monte-Carlo" algorithms.
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Crystalsim - XRD hkl simulation
X-ray diffraction (XRD) analysis for hkl simulation of any crystal.
Crystalsim is a simple freeware program with a neat graphical user interface for X-ray diffraction (XRD) data analysis . It can simulates all possible {hkl} planes data for the selected crystal. Crystallographic Information File (.cif) can also be used. Analyze both powder diffraction and single crystal data . Indexed at International Union of Crystallography (IUCR). Crystalline lattice parameters such as ‘a’, ‘b’, ‘c’ as well as interfacial angles such as alpha, beta,... -
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coatli
Second and third moments of the "Site frequency spectrum".
...This package contains implemented algorithms for the analytical calculation of the expected second and third moments of this spectrum (under the standard neutral Wright-Fisher model). Furthermore there are utilities to estimate these quantities from coalescent simulation (using output of the program 'ms', written by R.R. Hudson). As an add-on some small utilities are included to manipulate and draw output from 'ms'. -
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CBMPy
PySCeS Constraint Based Modelling
...CBMPy implements popular analyses such as FBA, FVA, element/charge balancing, network analysis and model editing as well as advanced methods developed for the ecosystem modelling. CBMPy supports user interaction via: - interactive console or as a library for advanced use - GUI, visual representation of the model, analysis methods - a SOAP based webAPI exposes high level functionality via web services -
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SageMaker Containers
Create SageMaker-compatible Docker containers
...If you use a prebuilt SageMaker Docker image for training, this library may already be included. Very often, an entry point needs additional information from the container that is not available in hyperparameters. SageMaker Containers writes this information as environment variables that are available inside the script. -
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PyText
A natural language modeling framework based on PyTorch
PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly... -
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TACO is a toolkit for building distributed control systems or any other distributed system. It is based on a C/C++ core. It is based on the client-server model. It supports writing clients and server on Unix+Windows. Clients and servers can be written in
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gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data... -
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Data Science at the Command Line
Data science at the command line
Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful... -
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PyTorch GAN Zoo
A mix of GAN implementations including progressive growing
PyTorch GAN Zoo is a comprehensive open research toolbox designed for experimenting with and developing Generative Adversarial Networks (GANs) using PyTorch. The project provides modular implementations of popular GAN architectures, including Progressive Growing of GANs (PGAN), DCGAN, and an experimental StyleGAN version. It is built to support both researchers and developers who want to train, evaluate, and extend GANs efficiently across diverse datasets such as CelebA-HQ, FashionGen, DTD,...
