Search Results for "code library" - Page 2
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Showing 90 open source projects for "code library"
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A "gumbo" of tools and concepts supporting rich client applications with 2D/3D user interfaces. Expands on the code from the book "3D User Interfaces with Java 3D", and includes a generous contribution of RCP code from Meyer Sound. Recent work includes a Norden bombsight simulator, with terrain rendering based on NASA's WorldWind SDK. For this effort YourKit has generously made available its full-featured Java Profiler (https://www.yourkit.com/java/profiler/index.jsp), which has proved...
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GeoTools, the Java GIS toolkit
Toolkit for working with and mapping geospatial data
GeoTools is an open source (LGPL) Java code library which provides standards compliant methods for the manipulation of geospatial data. GeoTools is an Open Source Geospatial Foundation project. The GeoTools library data structures are based on Open Geospatial Consortium (OGC) specifications. -
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Teem
Tools to process and visualize scientific data and images
Teem is a set of C libraries for manipulation, measurement, and visualization of structured scientific data. Includes N-dimensional image I/O and processing, volume rendering, diffusion tensor processing, and more. Latest code via git clone http://git.code.sf.net/p/teem/teem.git . Join us at https://discord.gg/xBBqZGXkF7 -
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MathMod
MathMod is a mathematical modeling software
MathMod is a portable interactive plotting and graphing program for Windows, Linux, MacOSX and many other platforms. MathMod allows to plot 3D mathematical surfaces, described by implicit or parametric equations, and offers a very large database of model samples that can be generated with it. It's Free and Open Source. Change-log for MathMod-13.0 (15/11/2025) 1) Scripts generator to add thickness to iso/parametric surfaces 2) Undo/Redo commands for navigating through previous... -
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ReportServer Community Edition
ReportServer is a modern and versatile business intelligence platform
ReportServer is a modern and versatile open source business intelligence (BI) platform with powerful reporting features. With ReportServer you are not limited to one provider's solutions. ReportServer integrates Jasper, Birt, Mondrian and Excel-based reporting: choose what best suits your needs! The source code is also available in GitHub: https://github.com/infofabrik/reportserver ReportServer scripting samples: https://github.com/infofabrik/reportserver-samples -
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glvertex
Support for legacy OpenGL in core profiles
The glVertex library emulates the legacy OpenGL API, which has been deprecated in OpenGL core profiles. It is also a convenience wrapper around GLSL shaders, VBOs and FBOs. -
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Strings Edit
String editing and formatting library for Ada
...For floating-point output either relative or absolute output precision can be specified. UTF-8 encoded strings are supported, including wildcard pattern matching, sets and maps of code points, upper/lowercase, and other Unicode categorizations. -
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Uranie
Uranie is CEA's uncertainty analysis platform, based on ROOT
Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is... -
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Sweetviz
Visualize and compare datasets, target values and associations
Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Output is a fully self-contained HTML application. The system is built around quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. -
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libCEED
CEED Library: Code for Efficient Extensible Discretizations
libCEED provides fast algebra for element-based discretizations, designed for performance portability, run-time flexibility, and clean embedding in higher-level libraries and applications. It offers a C99 interface as well as bindings for Fortran, Python, Julia, and Rust. While our focus is on high-order finite elements, the approach is mostly algebraic and thus applicable to other discretizations in factored form, as explained in the user manual and API implementation portion of the... -
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SageMaker Inference Toolkit
Serve machine learning models within a Docker container
Serve machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. Once you have a trained model, you can include it in a Docker container that runs your inference code. A container provides an effectively isolated environment, ensuring a consistent runtime regardless of where the... -
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GETL
ETL engine based on Groovy
P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with... -
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CSI-Math-Notation-PostfixInfix
Perl Lib Math Notation
* Introduction: - This Module is a Library based Perl code. - The library provide: - Convert INFIX expressions to POSTFIX; - Convert POSTFIX expressions to INFIX and; - Perform POSTFIX context validations. - Context validation can be implemented in item selection routines or data context validation, when it is possible to identify data to be selected or ignored in some data analysis process -
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Augmentor.jl
A fast image augmentation library in Julia for machine learning
A fast library for increasing the number of training images by applying various transformations. Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. -
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Soss
Probabilistic programming via source rewriting
Soss is a library for probabilistic programming. 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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Geodesy.jl
Work with points defined in various coordinate systems
...The primary feature of Geodesy is to define and perform coordinate transformations in a convenient and safe framework, leveraging the CoordinateTransformations package. Transformations are accurate and efficient and implemented in native Julia code (with many functions being ported from Charles Karney's GeographicLib C++ library), and some common geodetic datums are provided for convenience. -
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TSNE-CUDA
GPU Accelerated t-SNE for CUDA with Python bindings
This repo is an optimized CUDA version of FIt-SNE algorithm with associated python modules. We find that our implementation of t-SNE can be up to 1200x faster than Sklearn, or up to 50x faster than Multicore-TSNE when used with the right GPU. You can install binaries with anaconda for CUDA version 10.1 and 10.2 using conda install tsnecuda -c conda-forge. Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions.... -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
...These notebooks provide code and descriptions for creating and running workflows in AWS Step Functions Using the AWS Step Functions Data Science SDK. In Amazon SageMaker, example Jupyter notebooks are available in the example notebooks portion of a notebook instance. To run the AWS Step Functions Data Science SDK example notebooks locally, download the sample notebooks and open them in a working Jupyter instance. -
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giza
A scientific plotting library for C/Fortran built on cairo
A 2D scientific plotting library built on cairo. Provides uniform output to pdf, ps, png and X-Windows. Written in C with no dependencies (other than cairo) as a direct replacement for PGPLOT. -
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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. -
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SageMaker Containers
Create SageMaker-compatible Docker containers
...You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. The SageMaker Training Toolkit can be easily added to any Docker container, making it compatible with SageMaker for training models. If you use a prebuilt SageMaker Docker image for training, this library may already be included. ... -
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Data Science at the Command Line
Data science at the command line
Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful... -
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Pascal NUCLEUS (GUI/VM)
Portable Pascal GUI Library for Atari ST/TT/MSDOS
NOTE: As of r816, Nucleus source code is licensed under GPLv3. (8th Oct 2017) Nu|cleus [ˈnjuːklɪəs] - The central and most important part of an object, movement, or group, forming the basis for its activity and growth. This is yet another long-term project (YALP?). The aim is to write a portable GUI/OS for Atari ST, Amiga and DOS. The code must be small, fast and support modern GUI features. ie: Embedded component controls. The code current compiles with Highspeed Pascal (Atari ST)... -
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Gio.js
A declarative 3D globe data visualization library built with Three.js
Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a... -
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React-Vis
Data visualization components
React-vis is a React visualization library. React-vis components are designed to work just like other React components. They have properties, children and callbacks. They can be composed. If you can work with React components, you can work with React-Vis. You can create complex charts with a minimum amount of code and sensible defaults, however, you can also customize every aspect of your chart.
