Search Results for "without code" - Page 2
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Showing 50 open source projects for "without code"
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Billiards Covers
This zip jar contains the current coverings of periodic paths.
Researchers, Mathematicians and Enthusiasts. Download "Billiards Covers" to see the most current list of periodic paths in triangles. Download "Billiards Everything" to discover new periodic billiard paths, an unresolved problem from 1775! Follow "The Great Periodic Path Hunt" at gwtokarsky.github.io for the latest news. Email tokarsky@ualberta.ca for feedback. -
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OptiMIClass
Automatic n-dimensional data clustering tool powered by five advanced
This software is an automatic n-dimensional quantitative data clustering tool based on five optimization heuristics (GA, PSO, ACO, SA, and TS). It enables performance comparisons across heuristics and parameter testing within each method, analyzing solution quality, runtime, and convergence; it also includes a repository of benchmark test tables and an intuitive interface for research and operational use. It was developed by M.Sc. Jeffry Chavarría-Molina and M.Sc. Juan José Fallas-Monge... -
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TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing models
...TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers with a powerful Machine Learning tool set without reinventing the wheel. Since the APIs are kept as similar as possible you can immediately adapt any existing TensorFlow code in C# or F# with a zero learning curve. Take a look at a comparison picture and see how comfortably a TensorFlow/Python script translates into a C# program with TensorFlow.NET. -
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LaraAdmin
Open Source Laravel Admin Panel
...It offers a complete set of utilities and features, including Advanced CRUD Generation, Module Manager, Schema Manager, Backups and Workflows. LaraAdmin controls your Models, Data and their Role Permissions without touching any code at all, saving you time and effort and allowing you to focus on Data representation rather than Data Handling. It's got a modular architecture that makes Data management a breeze; generates CRUD methods and views which are very easy to customize; and is very easy to install-- all it takes is one command. -
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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5
Swiple
Swiple enables you to easily observe, understand, validate data
...With automated data analysis and profiling, scheduling and alerting, teams can resolve data quality issues before they impact mission critical resources. Experience hassle-free integration with Swiple's zero-infrastructure and zero-code setup. Seamlessly incorporate data quality checks into your existing workflows without any coding or infrastructure changes, allowing you to focus on what matters most - your data. Save engineers weeks of time generating data quality checks. Swiple analyzes your dataset and builds data quality checks based on what is observed in your data. ... -
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gophernotes
The Go kernel for Jupyter notebooks and nteract
gophernotes is a Go kernel for Jupyter notebooks and nteract. It lets you use Go interactively in a browser-based notebook or desktop app. Use gophernotes to create and share documents that contain live Go code, equations, visualizations and explanatory text. These notebooks, with the live Go code, can then be shared with others via email, Dropbox, GitHub and the Jupyter Notebook Viewer. Go forth and do data science, or anything else interesting, with Go notebooks! This project utilizes a... -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. These notebooks provide code and descriptions for creating and running workflows in AWS Step Functions Using the AWS Step Functions Data Science SDK. ... -
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OzGIS free open-source mapping system
Analysis and display of Census, business, government attribute data
OzGIS is an extensive mapping system for the analysis and display of geographically referenced data. Map data are downloaded from Census bureaux and map agencies or extracted from your own databases. The system can be used to to support management decisions associated with, for example, government planning, marketing, sales, site and personnel location, advertising and research. Systems for Windows, Mac and Ubuntu, source code, sample data files and manuals are included. DOWNLOAD to... -
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ArgCheck.jl
Package for checking function arguments
Package for checking function arguments. @argcheck code is as fast as @assert or a hand written if. That being said it is possible to erase argchecks, much like one can erase bounds checking using @inbounds. This feature is currently experimental. It may be silently changed or removed without increasing the major ArgCheck version number. -
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CuArrays.jl
A Curious Cumulation of CUDA Cuisine
CuArrays provides a fully-functional GPU array, which can give significant speedups over normal arrays without code changes. CuArrays are implemented fully in Julia, making the implementation elegant and extremely generic. -
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StellarGraph
Machine Learning on Graphs
StellarGraph is a Python library for machine learning on graphs and networks. The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can... -
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AutoAni
Compilation-free adaptive swf visualization template
...Configuration is handled through simple CSV files, allowing users to adjust layout, speed, positioning, and formatting without editing the source code directly. AutoAni includes modules such as champion bars and champion portraits, with more features planned. -
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GeoNotebook
A Jupyter notebook extension for geospatial visualization and analysis
GeoNotebook is an open-source extension to the Jupyter Notebook ecosystem that equips users with powerful geospatial visualization and analysis capabilities directly within the notebook interface. It integrates with GeoJS and other geospatial services to enable rich, interactive map rendering, layer control, and GIS data manipulation alongside traditional code and markdown cells in a Jupyter environment. Users can execute Python geospatial analysis and immediately visualize results on slippy web maps, allowing them to explore, annotate, and interpret large spatial datasets without leaving the notebook. GeoNotebook bridges the gap between data science workflows and GIS exploration by combining the flexibility of interactive notebooks with browser-based map display driven by a Python backend and WebGL/Canvas tools. ... -
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NVD3
A reusable charting library written in d3.js
...Don’t forget the NVD3 css file! Checkout our examples gallery for how to code your first chart. Our examples should provide you with enough code to start making beautiful charts. Google Chrome is our best supported browser. NVD3 also works in Firefox, Opera, Safari and Internet Explorer 10. NVD3 is currently maintained by a team of frontend software engineers at Novus Partners. -
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Spark Notebook
Interactive and Reactive Data Science using Scala and Spark
Spark Notebook is an interactive web-based computational notebook designed to make working with Apache Spark more productive, exploratory, and expressive. It allows developers, data scientists, and analysts to write, run, and visualize Spark code in cells that support multiple languages such as Scala, Python, and SQL, all within the same notebook. Users can interleave runnable code, rich text markup, visualizations, equations, and results, enabling reproducible research and exploratory data analysis workflows. Because it runs on top of Spark’s distributed engine, it can scale from running locally on a laptop to executing on clusters with large datasets without changing user workflow. ... -
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ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification. -
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Rodeo
A data science IDE for Python
A data science IDE for Python. RODEO, that is an open-source python IDE and has been brought up by the folks at yhat, is a development environment that is lightweight, intuitive and yet customizable to its very core and also contains all the features mentioned above that were searched for so long. It is just like your very own personal home base for exploration and interpretation of data that aims at Data Scientists and answers the main question, "Is there anything like RStudio for Python?"... -
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horizon
Horizon is a realtime, open-source backend for JavaScript apps
Horizon is an open-source developer platform for building sophisticated realtime apps. It provides a complete backend that makes it dramatically simpler to build, deploy, manage, and scale engaging JavaScript web and mobile apps. Horizon is extensible, integrates with the Node.js stack, and allows building modern, arbitrarily complex applications. While technologies like RethinkDB and WebSocket make it possible to build engaging realtime apps, empirically there is still too much friction for... -
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Pyclamp
A Python package used to extract and analyse electrophysiological data
Pyclamp is Python package used to extract and analyse electrophysiological data. A graphical user interface has been developed to allow a user to run the pack- age without requiring any knowledge of Python code. Presently, Pyclamp is designed to perform very specific forms of analysis on evoked synaptic responses: Data analysis (under development) : This is a highly user-interactive en-vironment that can be used to discriminate synaptic events, obtain various measures of their kinetics and size, and output the results. ... -
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Streams for IBM i
Batch performance boosting and Big Data framework for IBM i
...Streams for IBM i can split an existing batch process into a number of concurrent streams, completely eliminate backup-related delays, introduce new robust recovery policies and even modify the program logic of existing applications - all without any code modifications. Streams for IBM i includes a feature allowing manipulations of batch job QTEMP libraries. -
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SVG_plot
Plot data in SVG format using C++ library
The SVG_plot C++ library allows, with a few lines of C++ code, to add plotting of data, held in STL containers like vector and map, output as SVG files that can be viewed by all modern browsers. 1D, 2D and Boxplots can be produced, and there are a myriad of options to control appearance. The plots are very high quality and can be expanded without loss of quality (no pixelation!) but are tiny, (compared for a Microsoft Excel plot, for example) and are easily compressible, making them suitable for real-time transmission and update. ... -
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Appacts
Appacts Open Source Mobile Analytics Platform
Appacts was designed and developed with user in mind, leaving old style analytics services behind and starting fresh. We’ve looked for a way to empower our users by presenting data to them in a quick summarised view. We are here to make analytics exciting, engaging and more importantly productive, so you can make right decisions quickly. -
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DataStreamProcessor
TPL (transfer,parse,load) tool for batch files.
This is an enterprise-strength system for batch file processing, e.g. transfer, parse and load data using batch (text) files within and without the enterprise. The system is controlled through parameters and doesn't require any programming, code generation or code deployment. This is a heavy duty back end system with no GUI. Nonetheless it's very easy to use, easier than most GUI-based ETLs, even easier to install. It currently supports 4 major dbs: Oracle, Sybase, MySQL, MSSQL. ... -
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For starters a DirectX (Direct3D-Panel) A suite to display simple x/y/measurements, which has to be fast, because those analogue position encoders never "rest" at the same position and we want to see our table-position in realtime (mswin-realtime)
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NanoGraph is a java component for graph visualisation. It aims to visualize domain oriented object models without requiring code changes to these models. Design goals include a small footprint and Swing/SWT/SVG support.
