Search Results for "synthetic" - Page 2
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Showing 148 open source projects for "synthetic"
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ConnectWise PSA (formerly Manage) allows you to stop working in separate systems, and helps you build a more profitable business. No more duplicate data entries, inefficient employees, manual invoices, and the inability to accurately track client service issues. Get a behind the scenes look into the award-winning PSA that automates processes for each area of business: sales, help desk, support, finance, and HR.
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GatcomSUMO
Automates the building of VANET simulations using SUMO and OMNeT++
GatcomSUMO is a multi-platform application that facilitates the building of VANET simulations using the SUMO traffic simulator and the OMNeT++ network simulator. The tasks related to the generation of abstract or synthetic scenarios, the download and conversion of network scenarios based on real maps (e.g. from OpenStreetMap), the route creation process, and the vehicles mobility modelling are integrated in a user-friendly graphical interface. This tool performs the necessary actions... -
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CGISim
Roman Space Telescope coronagraph (CGI) diffraction model andsimulator
The roman_phasec_proper package is the CGI Phase C (final) diffraction model, provided as IDL, Matlab, and Python versions. It incorporates each optical surface and coronagraphic mask in CGI. Each surface has realistic aberrations (either measured or synthetic, depending on what's available), and polarization-induced wavefront error is also included. It uses the PROPER optical propagation library (http://proper-library.sourceforge.net). It includes a manual and example routines... -
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Discontinuity Set Extractor (DSE) is programmed by Adrián Riquelme for testing part of his PdD studies. Its aim is to extract discontinuity sets from a rock mass. The input data is a 3D point cloud, which can be acquired by means of a 3D laser scanner (LiDAR or TLS), digital photogrammetry techniques (such as SfM) or synthetic data. It applies a proposed methodology to semi-automatically identify points members of an unorganised 3D point cloud that are arranged in 3D space by planes.
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CplusPie
Synthetic Shared Environment in C++
Shared C++ Environment -
ConnectWise CPQ, formerly ConnectWise Sell, is a professional quote and proposal automation software for IT solution providers. ConnectWise CPQ offers a wide range of tools that enables IT solution providers to save time, quote more, and win big. Top features include professional quote or proposal templates, product catalog and sourcing, workflow automation, sales reporting, and integrations with best-in-breed solutions like Cisco, Dell, HP, and Salesforce.
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OpenEagle
Synthetic Vision/Sectional Maps for experimental aircraft.
OpenEagle provides interfacing to Flightgear to create a synthetic view of the flight using a Garmin G5 EFIS, and other instruments to display the flight at 10hz. The system also includes tools to make and use browser based moving maps from the FAA sectional "tif" files free to download. OpenEagle replaces NAV, and FIX databases in Flightgear with current FAA data. FAA Special rules airspace such as Class B,C, and D, and MOA's et al are displayed in the synthetic view using translucent... -
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TDG - Test data generator
Test dataset generator with export options to database, csv and json
An utility capable of producing simple datasets with test data with accordance to user-provided patterns and settings. Datasets can be afterwards exported to JSON and CSV files as well as to database table. At moment, SQL Server and PostgreSQL export providers implemented. -
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A Synthetic Data Generator for producing mixed datasets described by relevant, irrelevant, and redundant features.
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Internet of Things RandOm GENerator
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Old Photo Restoration
Bringing Old Photo Back to Life (CVPR 2020 oral)
We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. Specifically, we train two... -
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ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
... to extract tradeable signals from financial text data like SEC filings, earnings call transcripts or financial news. Using deep learning models like CNN and RNN with financial and alternative data, and how to generate synthetic data with Generative Adversarial Networks, as well as training a trading agent using deep reinforcement learning. -
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XZVoice
Free and open source text-to-speech software
..., and comprehensively use acoustic parameters and linguistic parameters to establish multiple automatic prediction models based on deep learning. Using massive audio data to train the pronunciation model, the synthetic sound is real, full, cadenced, and expressive, and the MOS score has reached the professional level in the industry. -
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miRSim
Seed-based RNA-Seq Simulator
The miRSim tool can generate the synthetic RNA-Seq data in standard fastq/fasta format by utilizing the sequence-specific properties (i.e., seed and xseed (remaining part of the sequence after removing seed)). Additionally, miRSim also generates the ground truth in CSV format that provides information about genomic location, CIGAR string, sequence, and expression counts. -
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SimPET
A web platform for the MC simulation of realistic brain PET data
SimPET (http://www.sim-pet.org) is an open, efficient, and user‐friendly online platform for the generation of synthetic brain PET datasets. The platform offers the ability to generate realistic activity and attenuation maps from patient's PET/CT and MRI images. These maps can then be simulated, and sinograms and simulated images can be downloaded. More advanced features can be obtained by using the SimPET scripts: https://github.com/txusser/brainviset_simset https://github.com/txusser... -
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Tofu
Tofu is a Python tool for generating synthetic UK Biobank data
Tofu is a Python library for generating synthetic UK Biobank data. The UK Biobank is a large open-access prospective research cohort study of 500,000 middle-aged participants recruited in England, Scotland and Wales. The study has collected and continues to collect extensive phenotypic and genotypic detail about its participants, including data from questionnaires, physical measures, sample assays, accelerometry, multimodal imaging, genome-wide genotyping and longitudinal follow-up for a wide... -
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Spotlight
Deep recommender models using PyTorch
..., and 20M. It also incorporates utilities for creating synthetic datasets. For example, generate_sequential generates a Markov-chain-derived interaction dataset, where the next item a user chooses is a function of their previous interactions. Recommendations can be seen as a sequence prediction task: given the items a user has interacted with in the past, what will be the next item they will interact with? Spotlight provides a range of models. -
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rpackage conjurer
Synthetic data generation using R
Builds synthetic data applicable across multiple domains. This package also provides flexibility to control data distribution to make it relevant to many industry examples. -
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TGAN
Generative adversarial training for generating synthetic tabular data
We are happy to announce that our new model for synthetic data called CTGAN is open-sourced. The new model is simpler and gives better performance on many datasets. TGAN is a tabular data synthesizer. It can generate fully synthetic data from real data. Currently, TGAN can generate numerical columns and categorical columns. TGAN has been developed and runs on Python 3.5, 3.6 and 3.7. Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid... -
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The Synthetic Pack
The Synthetic Pack. Find us on the Technic Launcher
This is where you can find all source files for The Synthetic Pack. You can find us on the Technic Platform by following this link: https://www.technicpack.net/modpack/the-synthetic-modpack.1241905 -
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PSRFM
A Prediction Smooth Method for Satellite Image Fusion
This PSRFM (Prediction Smooth Reflectance Fusion Model) software is a feature rich C++ program for blending Landsat or Sentinel-2 satellite images (higher spatial resolution but lower temporal frequency) with MODIS images ((lower spatial resolution but higher temporal frequency) to generate an exploitation-ready time series of synthetic images (higher spatial resolution and temporal frequency). The current version was developed and compiled by using the Microsoft Visual Studio 2017. -
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benerator is a framework for creating realistic and valid high-volume test data, used for load and performance testing and showcase setup. Data is generated from an easily configurable metadata model and exported to databases, XML, CSV or flat files.
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SML
SyntheticMicrobialLoop ; a model of phototroph-heterotroph interaction
Synthetic Microbial Loop - This project contains all the codes used to we have assemble a synthetic ecosystem to assist the systems-level investigation of diatom-bacteria biological association. The results obtained are described in https://www.biorxiv.org/content/early/2018/07/28/379131. -
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D-Tailor
D-Tailor: automated analysis and design of DNA sequences
... of sequence analysis tools into a Monte-Carlo algorithm that evolves synthetic sequences towards user-defined goals. -
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JPIV
Particle Image Velocimetry
JPIV is a platform independent, graphical stand-alone application for Particle Image Velocimetry (PIV) written in Java. PIV is an optical technique for measuring fluid flow velocities. JPIV moved to GitHub. Please visit us at: https://eguvep.github.io/jpiv/ -
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pySBOL
SWIG-Python wrappers for libSBOL
pySBOL is a SWIG-Python wrapper around libSBOL, a module for reading, writing, and constructing genetic designs according to the standardized specifications of the Synthetic Biology Open Language (SBOL). This page provides binary installers for Windows operating system for Python 2.7 and 3.6. For installation instructions, visit: https://pysbol2.readthedocs.io/en/latest/installation.html For full documentation, visit: https://pysbol2.readthedocs.io/en/latest/index.html