Search Results for "together"
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Showing 26 open source projects for "together"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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ComponentArrays.jl
Arrays with arbitrarily nested named components
..."Components" of ComponentArrays are really just array blocks that can be accessed through a named index. This will create a new ComponentArray whose data is a view into the original, allowing for standalone models to be composed together by simple function composition. In essence, ComponentArrays allow you to do the things you would usually need a modeling language for, but without actually needing a modeling language. The main targets are for use in DifferentialEquations.jl and Optim.jl, but anything that requires flat vectors is fair game. -
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The ARCHModels Package for Julia
A Julia package for estimating ARMA-GARCH models
ARCH (Autoregressive Conditional Heteroskedasticity) models are a class of models designed to capture a feature of financial returns data known as volatility clustering, i.e., the fact that large (in absolute value) returns tend to cluster together, such as during periods of financial turmoil, which then alternate with relatively calmer periods. This package provides efficient routines for simulating, estimating, and testing a variety of GARCH models. ARCH (Autoregressive Conditional Heteroskedasticity) models are a class of models designed to capture a feature of financial returns data known as volatility clustering, i.e., the fact that large (in absolute value) returns tend to cluster together, such as during periods of financial turmoil, which then alternate with relatively calmer periods. -
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Scanopy
Clean network diagrams, One-time setup, zero upkeep
...It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. Developers can compose custom pipelines that chain together transforms, filters, and exporters, enabling automation of tedious data preparation steps and accelerating insights with minimal code. The system places a premium on extensibility, allowing contributors to add new extractors or analysis modules tailored to specific industries or datasets. Its visualization tools help users explore captured information interactively, revealing patterns or anomalies that might otherwise require significant manual effort. -
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Pluto.jl
Simple reactive notebooks for Julia plutojl.org
We are on a mission to make scientific computing more accessible and fun. Writing a notebook is not just about writing the final document, Pluto empowers the experiments and discoveries that are essential to getting there. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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SciMLBase.jl
The Base interface of the SciML ecosystem
...It is a low-dependency library made to be depended on by the downstream libraries to supply the common interface and allow for the interexchange of mathematical problems. The SciML common interface ties together the numerical solvers of the Julia package ecosystem into a single unified interface. It is designed for maximal efficiency and parallelism, while incorporating essential features for large-scale scientific machine learning such as differentiability, composability, and sparsity. -
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city-roads
Visualization of all roads within any city
city-roads is a data visualization and mapping project that renders street networks of cities as vector paths, offering an interactive, zoomable experience that highlights how cities are stitched together by their road infrastructure. It typically fetches open map data (such as from OpenStreetMap) and then processes that data into geometry suited for rendering in the browser, allowing users to explore intricate road layouts at various scales. The visual style often abstracts away labels and extraneous map features to focus purely on the road network, giving a unique, aesthetic view of urban form and connectivity. ... -
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LoggingExtras.jl
Composable Loggers for the Julia Logging StdLib
LoggingExtras allows routing logged information to different places when constructing complicated "log plumbing" systems. Built upon the concept of simple parts composed together, subtyping AbstractLogger provides a powerful and flexible definition for your logging system without a need to define any custom loggers. When we talk about composability, the composition of any set of Loggers is itself a Logger, and LoggingExtras is a composable logging system. -
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React Chart.js
React components for Chart.js, the most popular charting library
...You will find that any event which causes the chart to re-render, such as hover tooltips, etc., will cause the first dataset to be copied over to other datasets, causing your lines and bars to merge together. This is because to track changes in the dataset series, the library needs a key to be specified. If none is found, it can't tell the difference between the datasets while updating. Specify a different property to be used as a key by passing a datasetIdKey prop to your chart component. -
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PythonCall & JuliaCall
Python and Julia in harmony
Bringing Python® and Julia together in seamless harmony. Call Python code from Julia and Julia code from Python via a symmetric interface. Simple syntax, so the Python code looks like Python and the Julia code looks like Julia. Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control. Fast non-copying conversion of numeric arrays in either direction: modify Python arrays (e.g. bytes, array. array, numpy.ndarray) from Julia or Julia arrays from Python. ... -
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Digital Earth Australia notebooks
Repository for Digital Earth Australia Jupyter Notebooks
The knowledge hub brings together information about Digital Earth Australia’s products and services, allowing you to utilize our free and open-source satellite imagery archive. Browse our catalog of data products to find supporting information and ways to access the data. The Digital Earth Australia notebooks and tools repository (dea-notebooks) hosts Jupyter Notebooks, Python scripts and workflows for analyzing Digital Earth Australia (DEA) satellite data and derived products. ... -
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visx
Visualization components
visx a collection of expressive, low-level visualization primitives for React. At Airbnb, we made it a goal to unify our visualization stack across the company and in the process, we created a new project that brings together the power of D3 with the joy of React. visx is split into multiple packages. Start small and use only what you need. Bring your own state management, animation library, or CSS-in-JS solution. Odds are good your React app already has an opinion on how animation, theming, or styling is done. visx is careful not to add another one and integrates with all of them. ... -
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Charmol
Program for molecular graphics
...As output, it produces POV-Ray rendered images or files in VRML format. Charmol is capable of making pictures containing: - from small- to large-size molecules - more molecules together (different settings possible) - orbitals using molden and fchk files (GTO functions up to 'h' angular momentum supported) - surfaces using gaussian cube files (also color-mapped surfaces according to potential) - schematic representation of vibrations using arrows - user-defined arrows representing vectorial properties - measuring gauges - combinations of these features (more orbitals together, orbitals and arrows together etc.) ... -
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TabuVis
An Interactive Visualisation for Tabular Data
...It utilizes scatter-plot visualization approach to provide comprehensive and interactive views for different attribute mappings. It provides single scatter-plot and multiple scatter-plots together with Map (GIS) capability. The project is available at: http://staff.scem.uws.edu.au/~vinh/projects/TabuVis/ Related publications: https://www.sciencedirect.com/science/article/pii/S2468502X20300358 https://dl.acm.org/doi/pdf/10.1145/2968220.2968248 https://link.springer.com/content/pdf/10.1007/s11432-013-4870-1.pdf https://dl.acm.org/doi/pdf/10.1145/2397696.2397705 -
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ScikitLearn.jl
Julia implementation of the scikit-learn API
...It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework. -
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Soss
Probabilistic programming via source rewriting
...Soss and DynamicPPL are both maturing and becoming more complete, so the above will change over time. It's also worth noting that we (the Turing team and I) hope to move toward a natural way of using these systems together to arrive at the best of both. -
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Queryverse.jl
A meta package for data science in Julia
Queryverse.jl is a meta package that pulls together a number of packages for handling data in Julia. -
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Luminance HDR
Complete solution for HDR photography
Luminance HDR is a complete suite for HDR imaging workflow. It provides a wide range of functionalities, during both the fusion stage and the tonemapping stage. Its graphical user interface, based on Qt5, runs on a variety of platforms, such as Microsoft Windows, Mac OS X 10.9 and later and several Unix flavors (Linux, FreeBSD and others). Input images can be supplied in multiple formats, from JPEG to RAW files. In the same way, output can be saved in many different formats as well, from... -
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PGF/TikZ has moved to GitHub: https://github.com/pgf-tikz/pgf THIS REPOSITORY IS NOW UNMAINTAINED PGF is a TeX macro package for generating graphics. It is platform- and format-independent and works together with the most important TeX backend drivers, including pdftex and dvips. It comes with a user-friedly syntax layer called TikZ.
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Britecharts
Composable Charting Library based on reusable D3.js components
Britecharts is a client-side reusable Charting Library based on D3.js v5 that offers easy and intuitive use of charts and components that can be composed together to create amazing visualizations. Britecharts components have been written in ES2016 with a Test Driven methodology, so they are fully tested, and we are committed to keeping them that way. The typical use of Britecharts involves creating a chart using its simple API, then rendering it on a container that has previously had data applied to it. ... -
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This project aims to provide a set of libraries for various common graphics programming tasks. These libraries can be used together, to perform the tasks of a typical monolithic 3D engine. Or separately, to cover specific needs of any graphics program.
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Matrex is a lightweight vectorial spreadsheet: calculates blocks of values, not single cells; it is strongly multithreaded; users can work together on sheets using a server. Adapters to matlab, scilab, octave, R.
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Take a gander with Gander! Gander is a lightweight scene renderer for prototyping and viewing GLSL shaders. It makes tying together OpenGL and GLSL easy by using XML scene graphs. Plus, it supports some advanced features like multiple render passes.
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MSP Visualizer creates SVG graphics suitable for viewing grouped variable plots together with messages between groups. It is done by combining vertical message sequence charts with plots.
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This project is a framework (i.e., library) for Mac OS X applications to link in. It provides plots of data together with the supporting machinery (objects inheriting from NSDocument, for example) that applications can use to manipulate the plots.
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Use map data to plan hikes or explore new areas. Includes 3D maps of terrain rendered in real-time; trace trails across the terrain and get height verses distance profiles; tile together adjacent maps to create seamless map areas. Reads USGS SDTS files.
