Showing 777 open source projects for "linear"

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  • Red Hat Ansible Automation Platform on Microsoft Azure Icon
    Red Hat Ansible Automation Platform on Microsoft Azure

    Red Hat Ansible Automation Platform on Azure allows you to quickly deploy, automate, and manage resources securely and at scale.

    Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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    Eptura Workplace Software

    From desk booking and visitor management, to space planning and office utilization data, Eptura Workplace helps your entire organization work smarter.

    With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
  • 1
    ColorSchemes.jl

    ColorSchemes.jl

    colorschemes, colormaps, gradients, and palettes

    Color schemes, colormaps, gradients, and palettes. Choose ColorSchemes with care. Refer to Peter Kovesi's PerceptualColourMaps package, or to Fabio Crameri's Scientific Colour Maps for more information. If you want to make more advanced ColorSchemes, use linear-segment dictionaries or indexed lists, and use functions to generate color values, see the make_colorscheme() function in the ColorSchemeTools.jl package.
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  • 2
    BlockArrays.jl

    BlockArrays.jl

    BlockArrays for Julia

    ... BlockArray stores each block contiguously while the type PseudoBlockArray stores the full matrix contiguously. This means that BlockArray supports fast noncopying extraction and insertion of blocks while PseudoBlockArray supports fast access to the full matrix to use in for example a linear solver.
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  • 3
    Surrogates.jl

    Surrogates.jl

    Surrogate modeling and optimization for scientific machine learning

    A surrogate model is an approximation method that mimics the behavior of a computationally expensive simulation. In more mathematical terms: suppose we are attempting to optimize a function f(p), but each calculation of f is very expensive. It may be the case we need to solve a PDE for each point or use advanced numerical linear algebra machinery, which is usually costly. The idea is then to develop a surrogate model g which approximates f by training on previous data collected from evaluations...
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  • 4
    ReverseDiff

    ReverseDiff

    Reverse Mode Automatic Differentiation for Julia

    ReverseDiff is a fast and compile-able tape-based reverse mode automatic differentiation (AD) that implements methods to take gradients, Jacobians, Hessians, and higher-order derivatives of native Julia functions (or any callable object, really). While performance can vary depending on the functions you evaluate, the algorithms implemented by ReverseDiff generally outperform non-AD algorithms in both speed and accuracy.
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  • Gain insights and build data-powered applications Icon
    Gain insights and build data-powered applications

    Your unified business intelligence platform. Self-service. Governed. Embedded.

    Chat with your business data with Looker. More than just a modern business intelligence platform, you can turn to Looker for self-service or governed BI, build your own custom applications with trusted metrics, or even bring Looker modeling to your existing BI environment.
  • 5
    CellTypist

    CellTypist

    A tool for semi-automatic cell type classification, harmonization

    CellTypist is an automated tool for cell type classification, harmonization, and integration. Classification, transfer cell type labels from the reference to query dataset. Harmonization, match and harmonize cell types defined by independent datasets. integration, integrate cell and cell types with supervision from harmonization. CellTypist recapitulates cell type structure and biology of independent datasets. Regularised linear models with Stochastic Gradient Descent provide a fast...
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  • 6
    Plane

    Plane

    Open Source JIRA, Linear, Monday, and Asana Alternative

    Open-source project management that unlocks customer value. Meet Plane, is an open-source project management tool to track issues, run sprint cycles, and manage product roadmaps without the chaos of managing the tool itself. Quickly create issues and add details using a powerful rich text editor that supports file uploads. Add sub-properties and references to problems for better organization and tracking. Keep up your team's momentum with Cycles. Gain insights into your project's progress...
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  • 7
    MLJAR Studio

    MLJAR Studio

    Python package for AutoML on Tabular Data with Feature Engineering

    We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data,...
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  • 8
    UMAP

    UMAP

    Uniform Manifold Approximation and Projection

    Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualization similarly to t-SNE, but also for general non-linear dimension reduction. It is possible to model the manifold with a fuzzy topological structure. The embedding is found by searching for a low-dimensional projection of the data that has the closest possible equivalent fuzzy topological structure. First of all UMAP is fast. It can handle large datasets and high dimensional...
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  • 9
    Tegon

    Tegon

    Tegon is an open-source, AI-first alternative to Jira, Linear

    Tegon is an AI-first, open-source issue-tracking software that uses AI to smartly automate manual tasks, and workflows or provide more context to engineers for a given task. Manual efforts in task management, such as task triaging and backlog maintenance, can be time-consuming. Engineers often lose time navigating multiple platforms to gather task context, rather than accessing details within the task itself. Issue tracking tools serve as a task database, directing engineers on what to work...
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    People and Company Data

    We handle the heavy-lifting of data collection, so you can build innovative and compliant data solutions at scale.

    We handle the heavy lifting of data collection, so you can build innovative and compliant data solutions at scale. Our data has enabled thousands of engineering, data science, product, and other technical teams to build compliant, innovative, data-based software solutions.
  • 10
    AtomAI

    AtomAI

    Deep and Machine Learning for Microscopy

    AtomAI is a Pytorch-based package for deep and machine-learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by Maxim Ziatdinov at Oak Ridge National Lab. The purpose of the AtomAI is to provide an environment that bridges the instrument-specific libraries and general physical analysis by enabling the seamless...
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  • 11
    NonlinearSolve.jl

    NonlinearSolve.jl

    High-performance and differentiation-enabled nonlinear solvers

    ... linear solvers, along with the ability to use sparse automatic differentiation for Jacobian construction and Jacobian-vector products. NonlinearSolve.jl interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code.
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  • 12
    Automated Tool for Optimized Modelling

    Automated Tool for Optimized Modelling

    Automated Tool for Optimized Modelling

    During the exploration phase of a machine learning project, a data scientist tries to find the optimal pipeline for his specific use case. This usually involves applying standard data cleaning steps, creating or selecting useful features, trying out different models, etc. Testing multiple pipelines requires many lines of code, and writing it all in the same notebook often makes it long and cluttered. On the other hand, using multiple notebooks makes it harder to compare the results and to...
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  • 13
    StructuralEquationModels.jl

    StructuralEquationModels.jl

    A fast and flexible Structural Equation Modelling Framework

    This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation /...
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  • 14
    CoreUI Icons

    CoreUI Icons

    Premium designed free icon set with marks in SVG, Webfont and raster

    Premium-designed free icon set with marks in SVG, JavaScript, and Webfont formats. CoreUI Icons are beautifully crafted symbols for common actions and items. You can use them in your digital products for web or mobile apps. WOFF, SVG, TFF, and much more to make your development easier. Download our free package or buy pro. You gain SOLID, LINEAR and soon DUO-TONE style sets. Just browse our library to find out more. Multiple icons are grouped in categories like Nature, Transport, Interface...
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  • 15
    LDtk

    LDtk

    Modern, lightweight and efficient 2D level editor

    ... the process of creating levels as smooth as possible. For every new tool out there, there is this moment when you need to write the importer for your fav engine. I’ve been there too: so LDtk offers a Super Simple Export option. And by “simple”, I mean it. Define some simple rules in a visual editor and let LDtk do the boring part of the skinning job for you. Choose your world layout among “Grid-vania”, “linear”, or “free” and reorganize all your levels using plain old simple drag-n-drop.
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  • 16
    CUTLASS

    CUTLASS

    CUDA Templates for Linear Algebra Subroutines

    CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These thread-wide, warp-wide, block-wide, and device-wide...
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  • 17
    NeuralProphet

    NeuralProphet

    A simple forecasting package

    NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in...
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  • 18
    mlpack

    mlpack

    mlpack: a scalable C++ machine learning library

    mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear...
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  • 19
    Yocto/GL

    Yocto/GL

    Yocto/GL: Tiny C++ Libraries for Data-Driven Physically-based Graphics

    Yocto/GL is a collection of small C++17 libraries for building physically-based graphics algorithms released under the MIT license. Yocto/GL is written in a deliberately data-oriented style for ease of development and use. Yocto/GL is split into small libraries to make code navigation easier. See each header file for documentation. Simple shape data structure, utilities for manipulating triangle meshes, quads meshes and line sets, computation of normals and tangents, linear and Catmull-Clark...
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  • 20
    Cookiecutter Data Science

    Cookiecutter Data Science

    Project structure for doing and sharing data science work

    ... about bikeshedding the indentation aesthetics or pedantic formatting standards, ultimately, data science code quality is about correctness and reproducibility. It's no secret that good analyses are often the result of very scattershot and serendipitous explorations. Tentative experiments and rapidly testing approaches that might not work out are all part of the process for getting to the good stuff, and there is no magic bullet to turn data exploration into a simple, linear progression.
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  • 21
    noUiSlider

    noUiSlider

    JavaScript range slider with multi-touch and keyboard support

    noUiSlider is a lightweight, ARIA-accessible JavaScript range slider with multi-touch and keyboard support. It is fully GPU animated: no reflows, so it is fast; even on older devices. It also fits wonderfully in responsive designs and has no dependencies. noUiSlider is a lightweight range slider with multi-touch support and a ton of features. It supports non-linear ranges, requires no external dependencies, has keyboard support, and it works great in responsive designs. Have you tried...
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  • 22
    Chroma.js

    Chroma.js

    JavaScript library for all kinds of color manipulations

    chroma.js is a small-ish zero-dependency JavaScript library (13.5kB) for all kinds of color conversions and color scales. Read colors from a wide range of formats, analyze and manipulate colors, convert colors into wide range of formats, linear and bezier interpolation in different color spaces. Aside from that, chroma.js can also help you generate nice colors using various methods, for instance to be used in color palette for maps or data visualization. The first step is to get your color...
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  • 23
    LQSTFM is a Matlab toolbox for handling linear quaternion systems. It requires the QTFM toolbox to provide the underlying quaternion operations.
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  • 24
    NetTopologySuite

    NetTopologySuite

    A .NET GIS solution that is fast and reliable for the .NET platform.

    A .NET GIS solution that is fast and reliable for the .NET platform. NetTopologySuite is a direct port of all the functionalities offered by JTS Topology Suite: NTS exposes JTS in a '.NET way', for example using Properties, Indexers, etc. The JTS Topology Suite is an API for modeling and manipulating 2-dimensional linear geometry. It provides numerous geometric predicates and functions. JTS conforms to the Simple Features Specification for SQL published by the Open GIS Consortium.
    Downloads: 3 This Week
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  • 25
    DifferenceKit

    DifferenceKit

    A fast and flexible O(n) difference algorithm framework

    A fast and flexible O(n) difference algorithm framework for Swift collection. The algorithm is optimized based on the Paul Heckel’s algorithm. This is a diffing algorithm developed for Carbon, works stand alone. The algorithm optimized based on the Paul Heckel’s algorithm. See also his paper A technique for isolating differences between files released in 1978. It allows all kind of diffs to be calculated in linear time O(n). RxDataSources and IGListKit are also implemented based on his...
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