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Showing 134 open source projects for "pc-basic - a gw-basic emulator"
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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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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Kst is the fastest real-time large-dataset viewing and plotting tool available and has basic data analysis functionality. Kst contains many powerful built-in features and is expandable with plugins and extensions.
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Parsers.jl
fast parsing machinery for basic types in Julia
A collection of type parsers and utilities for Julia. Installation: at the Julia REPL, import Pkg; Pkg.add("Parsers") Parsers is maintained collectively by the JuliaData collaborators. Responsiveness to pull requests and issues can vary, depending on the availability of key collaborators. -
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Excel to Graphviz
Free Excel tool to easily create Graphviz data visualizations.
The Excel to Graphviz Relationship Visualizer spreadsheet transforms your Excel data into professional Graphviz diagrams. Enter simple "A is related to B" rows to instantly generate polished relationship graphs using the Graphviz DOT language. Ideal for data analysis, network visualization, and IT architecture. Free, open-source, MIT-licensed. Customize the look of nodes, edges, and clusters with the Style Designer. Build a CSS-like gallery of reusable styles that lets you apply... -
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Eleana
Program for the analysis of spectroscopic data, in particular EPR(ESR)
...It allows you to import data from Bruker spectrometers such as Elexsys or EMX and data from any ASCII file or imported from the clipboard. The program is under constant development, but already has many functions implemented for spectral analysis. Some of the basic functions include: baseline corrections, filtering, spectral clipping, integration / differentiation, pseudomodulation, filtering, etc. More advanced functions are: Forward / Inverse Fourier Transforms, Hilbert Transforms, Nonlinear Curve Fit, Global Analysis Fit of Multiple Curves, and many other. It is also possible to create your own plugins extending Eleana's functionality. -
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CiteSpace
A widely used tool for visual exploration of scientific literature.
...It facilitates a systematic review of a knowledge domain through an in-depth visual analytic process. It can process citation data from popular sources such as the Web of Science, Scopus, Dimensions, and the Lens. CiteSpace also supports basic visual analytic functions for datasets without citation-related information, for example, PubMed, CNKI, ProQuest Dissertations and Theses. CiteSpace reveals how a field of research has evolved, what intellectual turning points are evident along a critical path, and what topics have attracted attention. CiteSpace can be applied repeatedly so as to track the development of a field closely and extensively. ... -
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Bayesian Julia
Bayesian Statistics using Julia and Turing
Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from... -
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ipyvolume
3d plotting for Python in the Jupyter notebook
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL. Create quiver plots (like scatter, but with an arrow pointing in a particular direction). Render in the Jupyter notebook, or create a standalone html page (or snippet to embed in your page). Render in stereo, for virtual reality with Google Cardboard. Animate in d3 style, for instance, if the x coordinates or color of a scatter plots changes. Animations / sequences, all scatter/quiver plot properties can be... -
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LostGrid
LostGrid is a powerful grid system built in PostCSS
...The great thing is that calc() is widely supported in all current browsers and the LostGrid usage of calc() is supported as far back as IE9+. If using LostGrid in flexbox mode browser support is limited to IE 10+. To create a basic horizontal grid, just insert some elements into any containing element like so and pass a fraction to the `lost-column` property. To unset (or remove) a column rule, possibly at a larger breakpoint, use `lost-column: none;` -
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MessyTimeSeries.jl
A Julia implementation of basic tools for time series analysis
A Julia implementation of basic tools for time series analysis compatible with incomplete data. Advanced estimation and validation algorithms are included in MessyTimeSeriesOptim. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Visdom
A tool for creating, organizing, and sharing data visualizations
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code. Visdom has... -
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PyNanoLab
data analysis and Visualization with matplotlib
PyNanoLab contains a variety of tools to complete the data analysis, statistics, curve fitting, and basic machine learning application. Visualization in pynanolab is based on matplotlib. The setup tools is desinged to control and set-up all the details of the figure with a GUI. -
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The Python Computer Graphics Kit is a collection of Python modules that contain the basic types and functions to be able to create 3D computer graphics images (focusing on Pixar's RenderMan interface).
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DotNET.jl
This package provides interoperability between Julia and .NET apps
This package provides interoperability between Julia and Common Language Runtime, the execution engine of .NET applications. Many languages run on CLR, including C#, Visual Basic .NET and PowerShell. -
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ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
This project provides the Julia code to generate figures in the book Reinforcement Learning: An Introduction(2nd). One of our main goals is to help users understand the basic concepts of reinforcement learning from an engineer's perspective. Once you have grasped how different components are organized, you're ready to explore a wide variety of modern deep reinforcement learning algorithms in ReinforcementLearningZoo.jl. -
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SHP Power Viewer
ERSI Shapefile Viewer
Shapefile (SHP) viewer with multi-layer and zoom. -
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HP93kShmooExcel
Excel macro to display HP 93000 Shmoo
HP93000 Shmoo Excel Tools read the shmoo files in hp93000 shmoo text-file format, and show them or overlay them. -
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Zarja
Agent-based simulation toolkit
It is an open source scientific library that is focused on multi-agent simulations on graphs. It prepares basic toolkit for agents, models, timers, graphs, nodes and edges. It is also accompanied with tools for data processing. -
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RigidBodyDynamics.jl
Julia implementation of various rigid body dynamics
RigidBodyDynamics.jl is a rigid body dynamics library in pure Julia. It aims to be user friendly and performant, but also generic in the sense that the algorithms can be called with inputs of any (suitable) scalar types. This means that if fast numeric dynamics evaluations are required, a user can supply Float64 or Float32 inputs. However, if symbolic quantities are desired for analysis purposes, they can be obtained by calling the algorithms with e.g. SymPy.Sym inputs. If gradients are... -
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Davinci
Davinci is a DVsaaS (Data Visualization as a Service) Platform
...Sharing and intelligence capability means users could share their dashboards with others, which stimulates them to improve the visualization ability both in aesthetic perception and technical skills. In the field of data visualization, Davinci attaches great importance to basic interaction ability and various chart options; meanwhile, it lays more stress on integration and customization capability as well as sharing and intelligence capability. -
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IPyPublish
Workflow for creating and editing publication ready scientific reports
A program for creating and editing publication-ready scientific reports and presentations, from one or more Jupyter Notebooks. Dynamically (and reproducibly) explore data, run code, and output the results. Dynamically edit and visualize the basic components of the document (text, math, figures, tables, references, citations, etc). Have precise control over what elements are output to the final document and how they are layed out and typeset. Also be able to output the same source document to different layouts and formats (pdf, HTML, presentation slides, etc). -
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CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
...Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases. Let’s break down a CNN into its basic building blocks. A tensor can be thought of as an n-dimensional matrix. In the CNN above, tensors will be 3-dimensional with the exception of the output layer. A neuron can be thought of as a function that takes in multiple inputs and yields a single output. The outputs of neurons are represented above as the red → blue activation maps. -
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LMAPper - The SPM and Mol Viewer
Where SPM images and molecular models meet
This application lets STM or AFM images AND molecular models to be overlaid. It is useful to understand how your molecules fit to what you observed and can help interpret your data. What makes this application more useful than paint programs (powerpoint or inkscape) is the fact that the size of the images and of the molecule is fixed, so that you know that you are working in real space. Check https://sourceforge.net/p/spm-and-mol-viewer/wiki/Home/ for updates. -
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React-Datasheet
Excel-like data grid (table) component for React
This small component allows you to integrate an excel-like datasheet. By default, the spreadsheet handles keyboard navigation and copy-pasting of cells. This example computes expression underneath using mathjs. On an invalid expression, the cell changes color to show the error. Note that react-datasheet does not handle the validation nor the formula computation. Custom renderers allow you to add significant new capabilities to your sheets without requiring changes to react-datagrid itself.... -
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JuliaFEM.jl
The JuliaFEM software library is a framework
The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The basic design principle is: that everything is nonlinear. All physics models are nonlinear from which the linearization are made as special cases. -
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geoStarsLib - geodetic library
Geodesy based library (geodetic and geocentric functions)
geoStarsLib has functions for dealing with many geodesy-based problems found in positioning, pointing, and surveying situations. It is useful to determine absolute position on the earth, pointing vectors, coordinate transformations, and other functions.
