Showing 8 open source projects for "python feature selection"

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  • 1
    CoolProp
    A cross-platform, open-source, alternative to NIST REFPROP. Based on reference-accuracy equations of state and transport property correlations for refrigerants like Water, CO2, R134a, Nitrogen, Argon, Ammonia, Air, R404a, R410a, Propane and many others. A selection of secondary working fluid properties are also available. Can also make use of REFPROP when available. In addition, calculations for Humid Air Properties based on ASHRAE RP-1485 are provided. Wrappers are available for MATLAB...
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    Downloads: 1,098 This Week
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  • 2
    Advanced Trigonometry Calculator

    Advanced Trigonometry Calculator

    Precision Trigonometry: Advanced Calculator for Complex Math

    Advanced Trigonometry Calculator is equipped with a user-friendly interface that allows for easy input of problems and instant computation. Professionals such as engineers who need to perform advanced trigonometric calculations in their work will find this tool extremely useful. More info by clicking below: https://advantrigoncalc.sourceforge.io/ Advanced Trigonometry Calculator was only and always only developed by the Portuguese Renato Alexandre dos Santos Freitas. Also author of...
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    Downloads: 16 This Week
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  • 3
    Micrometer CNC 4 Raspberry Pi3

    Micrometer CNC 4 Raspberry Pi3

    A debian image with linux RT kernel, OpenCV345, ROS, and LinuxCNC

    ... website to verify the system image integrity upon new releases and patches. This distro will include the newest OpenSCAD, Slic3R, FreeCAD, KiCAD, pcb2gcode, k40 laser cutter tools, and ESP32 Arduino SDK. The support forums will be available for feature requests, and machine specific assistance.
    Downloads: 2 This Week
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  • 4
    aioulinux

    aioulinux

    Linux for Arduino and Makers developers

    Hello, I'm the Aioulinux founder, eager to professionally revive the project. Since 2018, the demand for an IoT and Arduino-tailored environment has been evident. Seeking partners for a 2024 version targeting schools and IoT companies, aiming for a secure and comprehensive platform. If you share this vision and wish to collaborate, reach out. Let's revive Aioulinux stronger than ever! Now seeking partners: Live Distro Specialist: Expert in live distributions to ensure...
    Downloads: 0 This Week
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  • 5

    Molcrunch

    An atomic or molecular electronic properties computational package

    THE NEW, 11/7/2013 VERSION OF MOLCRUNCH IS HERE Molcrunch is an atomic or molecular electronic properties computational package. It provides Gaussian and Slater orbital support for SCF, MCSCF, and orthogonal or nonorthogonal orbital CI calculations. Its most sophisticated feature is a configuration manipulation CI package that provides symmetry filtering, orbital occupation selection, and a choice of many other wave function and/or basis characteristics. The symmetry filtering...
    Downloads: 0 This Week
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  • 6
    ParaSim

    ParaSim

    Parallelized calculation of molecular similarities

    Diversity assessments and comparisons of large compound databases require calculating similarities of millions of compounds in an affordable time. ParaSim addresses this challenge by parallelizing the calculations according to the number of computing cores available on a single machine. It is optimized for the throughput of very large numbers of query structures against very large numbers of reference structures. As as special feature, ParaSim allows to store and and to access frequently...
    Downloads: 0 This Week
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  • 7
    mlpy

    mlpy

    Machine Learning Python

    mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X.
    Downloads: 7 This Week
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  • 8
    Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.
    Downloads: 0 This Week
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