Showing 18 open source projects for "python linux"

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  • Run applications fast and securely in a fully managed environment Icon
    Run applications fast and securely in a fully managed environment

    Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.

    Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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  • The POS System for Specialty Retailers. Icon
    The POS System for Specialty Retailers.

    Omnichannel POS and inventory management designed for multi-store apparel, footwear, sports, and gift merchants.

    Established in 1992 in NYC, Runit is THE cloud-based Retail Management and Point of Sale (POS) system for high-end apparel, footwear, sporting goods and gift retail chains. Combining a flexible platform with highly personalized 24x7 service, we will enable you to integrate processes across your stores, warehouses, websites and third party online channels.
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  • 1

    Taylorplot_Neptune

    Creation of a Taylorplot for several machine learning models

    Here we present the lines of code for creating a taylor plot with python to display several machine learning models. We show the solution for displaying 10 models, but the list and number can be changed simply by modifying the sample list.
    Downloads: 0 This Week
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  • 2
    SMILI

    SMILI

    Scientific Visualisation Made Easy

    The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with...
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    Downloads: 21 This Week
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  • 3
    Conscious Artificial Intelligence

    Conscious Artificial Intelligence

    It's possible for machines to become self-aware.

    This project is a quest for conscious artificial intelligence. A number of prototypes will be developed as the project progresses. This project has 2 subprojects: Object Pascal based CAI NEURAL API - https://github.com/joaopauloschuler/neural-api Python based K-CAI NEURAL API - https://github.com/joaopauloschuler/k-neural-api A video from the first prototype has been made: http://www.youtube.com/watch?v=qH-IQgYy9zg Above video shows a popperian agent collecting mining ore from 3...
    Downloads: 3 This Week
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  • 4
    GNNePCSAFT

    GNNePCSAFT

    Smart Thermodynamic Modeling with Graph Neural Networks

    Our project harnesses the power of Graph Neural Network (GNN) to estimate pure-component parameters of the state-of-the-art Equation of State, PC-SAFT. We aim to empower users to leverage this robust equation without the need for prior experimental data, revolutionizing the calculation of thermodynamic properties and enhancing process simulations. FeOS is used for the PC-SAFT calculations. The estimated parameters can be used in DWSIM and Aspen HYSYS process simulators.
    Downloads: 1 This Week
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    ClouDNS provides fast and secure Free DNS Hosting and Premium DNS Hosting with Global Anycast DNS Network.

    Forever Free DNS Hosting with Dynamic DNS

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  • 5
    find-similar

    find-similar

    User-friendly library to find similar objects

    The mission of the FindSimilar project is to provide a powerful and versatile open source library that empowers developers to efficiently find similar objects and perform comparisons across a variety of data types. Whether dealing with texts, images, audio, or more, our project aims to simplify the process of identifying similarities and enhancing decision-making. https://github.com/findsimilar/find-similar - GitHub repo http://demo.findsimilar.org/ - Demo project and...
    Downloads: 0 This Week
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  • 6

    Lumi-HSP

    This is an AI language model that can predict Heart failure or stroke

    Using thsi AI model, you can predict the chances of heart stroke and heart failure. HIGLIGHTS : 1. Accuracy of this model is 95% 2. This model uses the powerful Machine Learning algorithm "GradientBoosting" for predicting the outcomes. 3. An easy to use model and accessible to everyone.
    Downloads: 0 This Week
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  • 7

    Spectral Python

    A python module for hyperspectral image processing

    Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
    Downloads: 0 This Week
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  • 8

    Training Image Operators from Samples

    Tools to train Image Operators automatically from a set of samples.

    TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image.
    Downloads: 0 This Week
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  • 9
    ExSTraCS

    ExSTraCS

    Extended Supervised Tracking and Classifying System

    This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ExSTraCS was primarily developed...
    Downloads: 0 This Week
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  • Sell and manage your activities and accommodation with an all-in-one reservation system Icon
    Sell and manage your activities and accommodation with an all-in-one reservation system

    Booking software for adventure and wellness travel

    Bookinglayer is an all-in-one reservation system built for complex booking scenarios involving accommodation and activities. They help retreats, resorts, and schools automate their booking process from start to finish. Bookinglayer’s solution allows you to start selling activities with your accommodation (80% of their clients' bookings include an activity). The software is highly customisable, allowing you to fully adapt your booking flow to your guest's decision-making process. Use their Customer Portal to ask for guest data post-booking, ensuring the booking process is as simple and quick as possible. Use the customer portal to sign waivers, schedule sessions, and collect outstanding balances, all of which are fully automated. Whether you have 5 cabanas or are a large multinational chain, Bookinglayer revolutionizes booking management, making it easier to collect and change bookings, sell and schedule activities, assign instructors, handle payments, and communicate with guests.
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  • 10
    IMAGINE

    IMAGINE

    Biological image viewer and processor

    Detection, enumeration, and sizing of biological organisms by image analysis.
    Downloads: 0 This Week
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  • 11

    EducationalLCS

    eLCS - Educational Learning Classifier System

    Educational Learning Classifier System (eLCS) is a set of learning classifier system (LCS) educational demos designed to introduce students or researchers to the basics of a modern Michigan-style LCS algorithm. This eLCS package includes 5 different implementations of a basic LCS algorithm, as part of a 6 stage set of demos that will be paired with the first introductory LCS textbook. Each eLCS implementations (from demo 2 up to demo 6) progressively add major components of the entire...
    Downloads: 0 This Week
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  • 12

    ProximityForest

    Efficient Approximate Nearest Neighbors for General Metric Spaces

    A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer...
    Downloads: 0 This Week
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  • 13
    This project develops a simple, fast and easy to use Python graph library using NumPy, Scipy and PySparse.
    Downloads: 0 This Week
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  • 14
    pyIRDG

    pyIRDG

    IMDb Relational Dataset Generator

    pyIRDG is a program written in Python to generate relational datasets in Prolog format. It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit...
    Downloads: 0 This Week
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  • 15
    Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
    Downloads: 0 This Week
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  • 16
    Onyx is for rapid prototyping and large-scale experimentation on advanced machine-learning algorithms with an emphasis on algorithms for online or streaming analysis, modeling, and classification.
    Downloads: 0 This Week
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  • 17
    BCI Project Triathlon
    A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
    Downloads: 1 This Week
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  • 18
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
    Downloads: 0 This Week
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